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1470 lines
43 KiB
C++
1470 lines
43 KiB
C++
// This code is in the public domain -- castanyo@yahoo.es
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#include "FloatImage.h"
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#include "Filter.h"
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#include "Image.h"
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#include "nvmath/Color.h"
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#include "nvmath/Vector.inl"
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#include "nvmath/Matrix.inl"
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#include "nvmath/ftoi.h"
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#include "nvmath/Gamma.h"
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#include "nvcore/Utils.h" // max
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#include "nvcore/Ptr.h"
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#include "nvcore/Memory.h"
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#include "nvcore/Array.inl"
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#include <math.h>
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#include <string.h> // memset, memcpy
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using namespace nv;
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/// Ctor.
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FloatImage::FloatImage() : m_componentCount(0), m_width(0), m_height(0), m_depth(0),
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m_pixelCount(0), m_floatCount(0), m_mem(NULL)
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{
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}
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/// Ctor. Init from image.
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FloatImage::FloatImage(const Image * img) : m_componentCount(0), m_width(0), m_height(0), m_depth(0),
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m_pixelCount(0), m_floatCount(0), m_mem(NULL)
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{
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initFrom(img);
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}
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/// Dtor.
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FloatImage::~FloatImage()
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{
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free();
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}
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/// Init the floating point image from a regular image.
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void FloatImage::initFrom(const Image * img)
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{
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nvCheck(img != NULL);
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allocate(4, img->width(), img->height(), img->depth());
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float * red_channel = channel(0);
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float * green_channel = channel(1);
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float * blue_channel = channel(2);
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float * alpha_channel = channel(3);
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const uint count = m_pixelCount;
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for (uint i = 0; i < count; i++) {
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Color32 pixel = img->pixel(i);
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red_channel[i] = float(pixel.r) / 255.0f;
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green_channel[i] = float(pixel.g) / 255.0f;
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blue_channel[i] = float(pixel.b) / 255.0f;
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alpha_channel[i] = float(pixel.a) / 255.0f;
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}
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}
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/// Convert the floating point image to a regular image.
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Image * FloatImage::createImage(uint baseComponent/*= 0*/, uint num/*= 4*/) const
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{
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nvCheck(num <= 4);
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nvCheck(baseComponent + num <= m_componentCount);
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AutoPtr<Image> img(new Image());
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img->allocate(m_width, m_height, m_depth);
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for (uint i = 0; i < m_pixelCount; i++) {
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uint c;
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uint8 rgba[4]= {0, 0, 0, 0xff};
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for (c = 0; c < num; c++) {
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float f = pixel(baseComponent + c, i);
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rgba[c] = nv::clamp(int(255.0f * f), 0, 255);
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}
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img->pixel(i) = Color32(rgba[0], rgba[1], rgba[2], rgba[3]);
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}
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return img.release();
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}
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/// Convert the floating point image to a regular image. Correct gamma of rgb, but not alpha.
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Image * FloatImage::createImageGammaCorrect(float gamma/*= 2.2f*/) const
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{
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nvCheck(m_componentCount == 4);
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AutoPtr<Image> img(new Image());
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img->allocate(m_width, m_height, m_depth);
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const float * rChannel = this->channel(0);
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const float * gChannel = this->channel(1);
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const float * bChannel = this->channel(2);
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const float * aChannel = this->channel(3);
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const uint count = m_pixelCount;
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for (uint i = 0; i < count; i++)
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{
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const uint8 r = nv::clamp(int(255.0f * pow(rChannel[i], 1.0f/gamma)), 0, 255);
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const uint8 g = nv::clamp(int(255.0f * pow(gChannel[i], 1.0f/gamma)), 0, 255);
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const uint8 b = nv::clamp(int(255.0f * pow(bChannel[i], 1.0f/gamma)), 0, 255);
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const uint8 a = nv::clamp(int(255.0f * aChannel[i]), 0, 255);
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img->pixel(i) = Color32(r, g, b, a);
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}
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return img.release();
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}
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/// Allocate a 2D float image of the given format and the given extents.
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void FloatImage::allocate(uint c, uint w, uint h, uint d)
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{
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if (m_componentCount != c || m_width != w || m_height != h || m_depth != d)
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{
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free();
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m_width = w;
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m_height = h;
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m_depth = d;
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m_componentCount = c;
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m_pixelCount = w * h * d;
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m_floatCount = m_pixelCount * c;
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m_mem = malloc<float>(m_floatCount);
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}
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}
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/// Free the image, but don't clear the members.
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void FloatImage::free()
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{
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::free(m_mem);
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m_mem = NULL;
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}
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void FloatImage::resizeChannelCount(uint c)
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{
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if (m_componentCount != c) {
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uint count = m_pixelCount * c;
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m_mem = realloc<float>(m_mem, count);
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if (c > m_componentCount) {
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memset(m_mem + m_floatCount, 0, (count - m_floatCount) * sizeof(float));
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}
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m_componentCount = c;
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m_floatCount = count;
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}
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}
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void FloatImage::clear(float f/*=0.0f*/)
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{
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for (uint i = 0; i < m_floatCount; i++) {
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m_mem[i] = f;
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}
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}
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void FloatImage::clear(uint c, float f/*= 0.0f*/)
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{
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float * channel = this->channel(c);
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const uint count = m_pixelCount;
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for (uint i = 0; i < count; i++) {
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channel[i] = f;
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}
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}
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void FloatImage::copyChannel(uint src, uint dst)
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{
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nvCheck(src < m_componentCount);
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nvCheck(dst < m_componentCount);
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const float * srcChannel = this->channel(src);
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float * dstChannel = this->channel(dst);
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memcpy(dstChannel, srcChannel, sizeof(float)*m_pixelCount);
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}
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void FloatImage::normalize(uint baseComponent)
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{
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nvCheck(baseComponent + 3 <= m_componentCount);
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float * xChannel = this->channel(baseComponent + 0);
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float * yChannel = this->channel(baseComponent + 1);
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float * zChannel = this->channel(baseComponent + 2);
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const uint count = m_pixelCount;
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for (uint i = 0; i < count; i++) {
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Vector3 normal(xChannel[i], yChannel[i], zChannel[i]);
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normal = normalizeSafe(normal, Vector3(0), 0.0f);
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xChannel[i] = normal.x;
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yChannel[i] = normal.y;
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zChannel[i] = normal.z;
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}
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}
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void FloatImage::packNormals(uint baseComponent)
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{
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scaleBias(baseComponent, 3, 0.5f, 0.5f);
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}
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void FloatImage::expandNormals(uint baseComponent)
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{
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scaleBias(baseComponent, 3, 2, -1.0);
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}
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void FloatImage::scaleBias(uint baseComponent, uint num, float scale, float bias)
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{
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const uint size = m_pixelCount;
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for (uint c = 0; c < num; c++) {
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float * ptr = this->channel(baseComponent + c);
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for (uint i = 0; i < size; i++) {
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ptr[i] = scale * ptr[i] + bias;
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}
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}
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}
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/// Clamp the elements of the image.
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void FloatImage::clamp(uint baseComponent, uint num, float low, float high)
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{
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const uint size = m_pixelCount;
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for (uint c = 0; c < num; c++) {
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float * ptr = this->channel(baseComponent + c);
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for (uint i = 0; i < size; i++) {
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ptr[i] = nv::clamp(ptr[i], low, high);
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}
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}
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}
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/// From gamma to linear space.
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void FloatImage::toLinear(uint baseComponent, uint num, float gamma /*= 2.2f*/)
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{
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if (gamma == 2.2f) {
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for (uint c = 0; c < num; c++) {
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float * ptr = this->channel(baseComponent + c);
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powf_11_5(ptr, ptr, m_pixelCount);
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}
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} else {
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exponentiate(baseComponent, num, gamma);
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}
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}
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/// From linear to gamma space.
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void FloatImage::toGamma(uint baseComponent, uint num, float gamma /*= 2.2f*/)
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{
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if (gamma == 2.2f) {
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for (uint c = 0; c < num; c++) {
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float * ptr = this->channel(baseComponent + c);
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powf_5_11(ptr, ptr, m_pixelCount);
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}
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} else {
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exponentiate(baseComponent, num, 1.0f/gamma);
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}
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}
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/// Exponentiate the elements of the image.
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void FloatImage::exponentiate(uint baseComponent, uint num, float power)
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{
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const uint size = m_pixelCount;
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for(uint c = 0; c < num; c++) {
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float * ptr = this->channel(baseComponent + c);
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for(uint i = 0; i < size; i++) {
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ptr[i] = powf(max(0.0f, ptr[i]), power);
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}
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}
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}
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/// Apply linear transform.
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void FloatImage::transform(uint baseComponent, const Matrix & m, Vector4::Arg offset)
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{
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nvCheck(baseComponent + 4 <= m_componentCount);
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float * r = this->channel(baseComponent + 0);
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float * g = this->channel(baseComponent + 1);
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float * b = this->channel(baseComponent + 2);
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float * a = this->channel(baseComponent + 3);
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const uint size = m_pixelCount;
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for (uint i = 0; i < size; i++)
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{
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Vector4 color = nv::transform(m, Vector4(*r, *g, *b, *a)) + offset;
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*r++ = color.x;
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*g++ = color.y;
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*b++ = color.z;
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*a++ = color.w;
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}
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}
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void FloatImage::swizzle(uint baseComponent, uint r, uint g, uint b, uint a)
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{
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nvCheck(baseComponent + 4 <= m_componentCount);
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nvCheck(r < 7 && g < 7 && b < 7 && a < 7);
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float consts[] = { 1.0f, 0.0f, -1.0f };
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float * c[7];
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c[0] = this->channel(baseComponent + 0);
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c[1] = this->channel(baseComponent + 1);
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c[2] = this->channel(baseComponent + 2);
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c[3] = this->channel(baseComponent + 3);
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c[4] = consts;
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c[5] = consts + 1;
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c[6] = consts + 2;
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const uint size = m_pixelCount;
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for (uint i = 0; i < size; i++)
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{
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float tmp[4] = { *c[r], *c[g], *c[b], *c[a] };
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*c[0]++ = tmp[0];
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*c[1]++ = tmp[1];
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*c[2]++ = tmp[2];
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*c[3]++ = tmp[3];
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}
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}
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float FloatImage::sampleNearest(uint c, float x, float y, const WrapMode wm) const
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{
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if( wm == WrapMode_Clamp ) return sampleNearestClamp(c, x, y);
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else if( wm == WrapMode_Repeat ) return sampleNearestRepeat(c, x, y);
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else /*if( wm == WrapMode_Mirror )*/ return sampleNearestMirror(c, x, y);
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}
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float FloatImage::sampleLinear(uint c, float x, float y, WrapMode wm) const
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{
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if( wm == WrapMode_Clamp ) return sampleLinearClamp(c, x, y);
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else if( wm == WrapMode_Repeat ) return sampleLinearRepeat(c, x, y);
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else /*if( wm == WrapMode_Mirror )*/ return sampleLinearMirror(c, x, y);
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}
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float FloatImage::sampleNearest(uint c, float x, float y, float z, WrapMode wm) const
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{
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if( wm == WrapMode_Clamp ) return sampleNearestClamp(c, x, y, z);
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else if( wm == WrapMode_Repeat ) return sampleNearestRepeat(c, x, y, z);
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else /*if( wm == WrapMode_Mirror )*/ return sampleNearestMirror(c, x, y, z);
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}
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float FloatImage::sampleLinear(uint c, float x, float y, float z, WrapMode wm) const
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{
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if( wm == WrapMode_Clamp ) return sampleLinearClamp(c, x, y, z);
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else if( wm == WrapMode_Repeat ) return sampleLinearRepeat(c, x, y, z);
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else /*if( wm == WrapMode_Mirror )*/ return sampleLinearMirror(c, x, y, z);
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}
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float FloatImage::sampleNearestClamp(uint c, float x, float y) const
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{
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int ix = wrapClamp(iround(x * m_width), m_width);
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int iy = wrapClamp(iround(y * m_height), m_height);
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return pixel(c, ix, iy, 0);
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}
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float FloatImage::sampleNearestRepeat(uint c, float x, float y) const
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{
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int ix = wrapRepeat(iround(x * m_width), m_width);
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int iy = wrapRepeat(iround(y * m_height), m_height);
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return pixel(c, ix, iy, 0);
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}
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float FloatImage::sampleNearestMirror(uint c, float x, float y) const
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{
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int ix = wrapMirror(iround(x * m_width), m_width);
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int iy = wrapMirror(iround(y * m_height), m_height);
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return pixel(c, ix, iy, 0);
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}
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float FloatImage::sampleNearestClamp(uint c, float x, float y, float z) const
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{
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int ix = wrapClamp(iround(x * m_width), m_width);
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int iy = wrapClamp(iround(y * m_height), m_height);
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int iz = wrapClamp(iround(z * m_depth), m_depth);
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return pixel(c, ix, iy, iz);
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}
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float FloatImage::sampleNearestRepeat(uint c, float x, float y, float z) const
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{
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int ix = wrapRepeat(iround(x * m_width), m_width);
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int iy = wrapRepeat(iround(y * m_height), m_height);
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int iz = wrapRepeat(iround(z * m_depth), m_depth);
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return pixel(c, ix, iy, iz);
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}
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float FloatImage::sampleNearestMirror(uint c, float x, float y, float z) const
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{
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int ix = wrapMirror(iround(x * m_width), m_width);
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int iy = wrapMirror(iround(y * m_height), m_height);
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int iz = wrapMirror(iround(z * m_depth), m_depth);
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return pixel(c, ix, iy, iz);
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}
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float FloatImage::sampleLinearClamp(uint c, float x, float y) const
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{
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const int w = m_width;
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const int h = m_height;
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x *= w;
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y *= h;
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const float fracX = frac(x);
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const float fracY = frac(y);
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const int ix0 = ::clamp(ifloor(x), 0, w-1);
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const int iy0 = ::clamp(ifloor(y), 0, h-1);
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const int ix1 = ::clamp(ifloor(x)+1, 0, w-1);
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const int iy1 = ::clamp(ifloor(y)+1, 0, h-1);
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return bilerp(c, ix0, iy0, ix1, iy1, fracX, fracY);
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}
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float FloatImage::sampleLinearRepeat(uint c, float x, float y) const
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{
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const int w = m_width;
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const int h = m_height;
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const float fracX = frac(x * w);
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const float fracY = frac(y * h);
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// @@ Using floor in some places, but round in others?
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int ix0 = ifloor(frac(x) * w);
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int iy0 = ifloor(frac(y) * h);
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int ix1 = ifloor(frac(x + 1.0f/w) * w);
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int iy1 = ifloor(frac(y + 1.0f/h) * h);
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return bilerp(c, ix0, iy0, ix1, iy1, fracX, fracY);
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}
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float FloatImage::sampleLinearMirror(uint c, float x, float y) const
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{
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const int w = m_width;
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const int h = m_height;
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x *= w;
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y *= h;
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const float fracX = frac(x);
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const float fracY = frac(y);
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int ix0 = wrapMirror(iround(x), w);
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int iy0 = wrapMirror(iround(y), h);
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int ix1 = wrapMirror(iround(x) + 1, w);
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int iy1 = wrapMirror(iround(y) + 1, h);
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return bilerp(c, ix0, iy0, ix1, iy1, fracX, fracY);
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}
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float FloatImage::sampleLinearClamp(uint c, float x, float y, float z) const
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{
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const int w = m_width;
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const int h = m_height;
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const int d = m_depth;
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x *= w;
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y *= h;
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z *= d;
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const float fracX = frac(x);
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const float fracY = frac(y);
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const float fracZ = frac(z);
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// @@ Using floor in some places, but round in others?
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const int ix0 = ::clamp(ifloor(x), 0, w-1);
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const int iy0 = ::clamp(ifloor(y), 0, h-1);
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const int iz0 = ::clamp(ifloor(z), 0, h-1);
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const int ix1 = ::clamp(ifloor(x)+1, 0, w-1);
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const int iy1 = ::clamp(ifloor(y)+1, 0, h-1);
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const int iz1 = ::clamp(ifloor(z)+1, 0, h-1);
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return trilerp(c, ix0, iy0, iz0, ix1, iy1, iz1, fracX, fracY, fracZ);
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}
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float FloatImage::sampleLinearRepeat(uint c, float x, float y, float z) const
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{
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const int w = m_width;
|
|
const int h = m_height;
|
|
const int d = m_depth;
|
|
|
|
const float fracX = frac(x * w);
|
|
const float fracY = frac(y * h);
|
|
const float fracZ = frac(z * d);
|
|
|
|
int ix0 = ifloor(frac(x) * w);
|
|
int iy0 = ifloor(frac(y) * h);
|
|
int iz0 = ifloor(frac(z) * d);
|
|
int ix1 = ifloor(frac(x + 1.0f/w) * w);
|
|
int iy1 = ifloor(frac(y + 1.0f/h) * h);
|
|
int iz1 = ifloor(frac(z + 1.0f/d) * d);
|
|
|
|
return trilerp(c, ix0, iy0, iz0, ix1, iy1, iz1, fracX, fracY, fracZ);
|
|
}
|
|
|
|
float FloatImage::sampleLinearMirror(uint c, float x, float y, float z) const
|
|
{
|
|
const int w = m_width;
|
|
const int h = m_height;
|
|
const int d = m_depth;
|
|
|
|
x *= w;
|
|
y *= h;
|
|
z *= d;
|
|
|
|
int ix0 = wrapMirror(iround(x), w);
|
|
int iy0 = wrapMirror(iround(y), h);
|
|
int iz0 = wrapMirror(iround(z), d);
|
|
int ix1 = wrapMirror(iround(x) + 1, w);
|
|
int iy1 = wrapMirror(iround(y) + 1, h);
|
|
int iz1 = wrapMirror(iround(z) + 1, d);
|
|
|
|
const float fracX = frac(x);
|
|
const float fracY = frac(y);
|
|
const float fracZ = frac(z);
|
|
|
|
return trilerp(c, ix0, iy0, iz0, ix1, iy1, iz1, fracX, fracY, fracZ);
|
|
}
|
|
|
|
|
|
/// Fast downsampling using box filter.
|
|
///
|
|
/// The extents of the image are divided by two and rounded down.
|
|
///
|
|
/// When the size of the image is odd, this uses a polyphase box filter as explained in:
|
|
/// http://developer.nvidia.com/object/np2_mipmapping.html
|
|
///
|
|
FloatImage * FloatImage::fastDownSample() const
|
|
{
|
|
nvDebugCheck(m_depth == 1);
|
|
nvDebugCheck(m_width != 1 || m_height != 1);
|
|
|
|
AutoPtr<FloatImage> dst_image( new FloatImage() );
|
|
|
|
const uint w = max(1, m_width / 2);
|
|
const uint h = max(1, m_height / 2);
|
|
dst_image->allocate(m_componentCount, w, h);
|
|
|
|
// 1D box filter.
|
|
if (m_width == 1 || m_height == 1)
|
|
{
|
|
const uint n = w * h;
|
|
|
|
if ((m_width * m_height) & 1)
|
|
{
|
|
const float scale = 1.0f / (2 * n + 1);
|
|
|
|
for(uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
const float * src = this->channel(c);
|
|
float * dst = dst_image->channel(c);
|
|
|
|
for(uint x = 0; x < n; x++)
|
|
{
|
|
const float w0 = float(n - x);
|
|
const float w1 = float(n - 0);
|
|
const float w2 = float(1 + x);
|
|
|
|
*dst++ = scale * (w0 * src[0] + w1 * src[1] + w2 * src[2]);
|
|
src += 2;
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for(uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
const float * src = this->channel(c);
|
|
float * dst = dst_image->channel(c);
|
|
|
|
for(uint x = 0; x < n; x++)
|
|
{
|
|
*dst = 0.5f * (src[0] + src[1]);
|
|
dst++;
|
|
src += 2;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Regular box filter.
|
|
else if ((m_width & 1) == 0 && (m_height & 1) == 0)
|
|
{
|
|
for(uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
const float * src = this->channel(c);
|
|
float * dst = dst_image->channel(c);
|
|
|
|
for(uint y = 0; y < h; y++)
|
|
{
|
|
for(uint x = 0; x < w; x++)
|
|
{
|
|
*dst = 0.25f * (src[0] + src[1] + src[m_width] + src[m_width + 1]);
|
|
dst++;
|
|
src += 2;
|
|
}
|
|
|
|
src += m_width;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Polyphase filters.
|
|
else if (m_width & 1 && m_height & 1)
|
|
{
|
|
nvDebugCheck(m_width == 2 * w + 1);
|
|
nvDebugCheck(m_height == 2 * h + 1);
|
|
|
|
const float scale = 1.0f / (m_width * m_height);
|
|
|
|
for(uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
const float * src = this->channel(c);
|
|
float * dst = dst_image->channel(c);
|
|
|
|
for(uint y = 0; y < h; y++)
|
|
{
|
|
const float v0 = float(h - y);
|
|
const float v1 = float(h - 0);
|
|
const float v2 = float(1 + y);
|
|
|
|
for (uint x = 0; x < w; x++)
|
|
{
|
|
const float w0 = float(w - x);
|
|
const float w1 = float(w - 0);
|
|
const float w2 = float(1 + x);
|
|
|
|
float f = 0.0f;
|
|
f += v0 * (w0 * src[0 * m_width + 2 * x] + w1 * src[0 * m_width + 2 * x + 1] + w2 * src[0 * m_width + 2 * x + 2]);
|
|
f += v1 * (w0 * src[1 * m_width + 2 * x] + w1 * src[1 * m_width + 2 * x + 1] + w2 * src[1 * m_width + 2 * x + 2]);
|
|
f += v2 * (w0 * src[2 * m_width + 2 * x] + w1 * src[2 * m_width + 2 * x + 1] + w2 * src[2 * m_width + 2 * x + 2]);
|
|
|
|
*dst = f * scale;
|
|
dst++;
|
|
}
|
|
|
|
src += 2 * m_width;
|
|
}
|
|
}
|
|
}
|
|
else if (m_width & 1)
|
|
{
|
|
nvDebugCheck(m_width == 2 * w + 1);
|
|
const float scale = 1.0f / (2 * m_width);
|
|
|
|
for(uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
const float * src = this->channel(c);
|
|
float * dst = dst_image->channel(c);
|
|
|
|
for(uint y = 0; y < h; y++)
|
|
{
|
|
for (uint x = 0; x < w; x++)
|
|
{
|
|
const float w0 = float(w - x);
|
|
const float w1 = float(w - 0);
|
|
const float w2 = float(1 + x);
|
|
|
|
float f = 0.0f;
|
|
f += w0 * (src[2 * x + 0] + src[m_width + 2 * x + 0]);
|
|
f += w1 * (src[2 * x + 1] + src[m_width + 2 * x + 1]);
|
|
f += w2 * (src[2 * x + 2] + src[m_width + 2 * x + 2]);
|
|
|
|
*dst = f * scale;
|
|
dst++;
|
|
}
|
|
|
|
src += 2 * m_width;
|
|
}
|
|
}
|
|
}
|
|
else if (m_height & 1)
|
|
{
|
|
nvDebugCheck(m_height == 2 * h + 1);
|
|
|
|
const float scale = 1.0f / (2 * m_height);
|
|
|
|
for(uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
const float * src = this->channel(c);
|
|
float * dst = dst_image->channel(c);
|
|
|
|
for(uint y = 0; y < h; y++)
|
|
{
|
|
const float v0 = float(h - y);
|
|
const float v1 = float(h - 0);
|
|
const float v2 = float(1 + y);
|
|
|
|
for (uint x = 0; x < w; x++)
|
|
{
|
|
float f = 0.0f;
|
|
f += v0 * (src[0 * m_width + 2 * x] + src[0 * m_width + 2 * x + 1]);
|
|
f += v1 * (src[1 * m_width + 2 * x] + src[1 * m_width + 2 * x + 1]);
|
|
f += v2 * (src[2 * m_width + 2 * x] + src[2 * m_width + 2 * x + 1]);
|
|
|
|
*dst = f * scale;
|
|
dst++;
|
|
}
|
|
|
|
src += 2 * m_width;
|
|
}
|
|
}
|
|
}
|
|
|
|
return dst_image.release();
|
|
}
|
|
|
|
/// Downsample applying a 1D kernel separately in each dimension.
|
|
FloatImage * FloatImage::downSample(const Filter & filter, WrapMode wm) const
|
|
{
|
|
const uint w = max(1, m_width / 2);
|
|
const uint h = max(1, m_height / 2);
|
|
const uint d = max(1, m_depth / 2);
|
|
|
|
return resize(filter, w, h, d, wm);
|
|
}
|
|
|
|
/// Downsample applying a 1D kernel separately in each dimension.
|
|
FloatImage * FloatImage::downSample(const Filter & filter, WrapMode wm, uint alpha) const
|
|
{
|
|
const uint w = max(1, m_width / 2);
|
|
const uint h = max(1, m_height / 2);
|
|
const uint d = max(1, m_depth / 2);
|
|
|
|
return resize(filter, w, h, d, wm, alpha);
|
|
}
|
|
|
|
|
|
/// Downsample applying a 1D kernel separately in each dimension.
|
|
FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode wm) const
|
|
{
|
|
// @@ Use monophase filters when frac(m_width / w) == 0
|
|
|
|
AutoPtr<FloatImage> tmp_image( new FloatImage() );
|
|
AutoPtr<FloatImage> dst_image( new FloatImage() );
|
|
|
|
PolyphaseKernel xkernel(filter, m_width, w, 32);
|
|
PolyphaseKernel ykernel(filter, m_height, h, 32);
|
|
|
|
// @@ Select fastest filtering order:
|
|
//if (w * m_height <= h * m_width)
|
|
{
|
|
tmp_image->allocate(m_componentCount, w, m_height);
|
|
dst_image->allocate(m_componentCount, w, h);
|
|
|
|
// @@ We could avoid this allocation, write directly to dst_plane.
|
|
Array<float> tmp_column(h);
|
|
tmp_column.resize(h);
|
|
|
|
for (uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
for (uint z = 0; z < m_depth; z++)
|
|
{
|
|
float * tmp_plane = tmp_image->plane(c, z);
|
|
|
|
for (uint y = 0; y < m_height; y++) {
|
|
this->applyKernelX(xkernel, y, z, c, wm, tmp_plane + y * w);
|
|
}
|
|
|
|
float * dst_plane = dst_image->plane(c, z);
|
|
|
|
for (uint x = 0; x < w; x++) {
|
|
tmp_image->applyKernelY(ykernel, x, z, c, wm, tmp_column.buffer());
|
|
|
|
// @@ We could avoid this copy, write directly to dst_plane.
|
|
for (uint y = 0; y < h; y++) {
|
|
dst_plane[y * w + x] = tmp_column[y];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return dst_image.release();
|
|
}
|
|
|
|
/// Downsample applying a 1D kernel separately in each dimension. (for 3d textures)
|
|
FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, uint d, WrapMode wm) const
|
|
{
|
|
// @@ Use monophase filters when frac(m_width / w) == 0
|
|
|
|
// Use the existing 2d version if we are not resizing in the Z axis:
|
|
if (m_depth == d) {
|
|
return resize(filter, w, h, wm);
|
|
}
|
|
|
|
AutoPtr<FloatImage> tmp_image( new FloatImage() );
|
|
AutoPtr<FloatImage> tmp_image2( new FloatImage() );
|
|
AutoPtr<FloatImage> dst_image( new FloatImage() );
|
|
|
|
PolyphaseKernel xkernel(filter, m_width, w, 32);
|
|
PolyphaseKernel ykernel(filter, m_height, h, 32);
|
|
PolyphaseKernel zkernel(filter, m_depth, d, 32);
|
|
|
|
tmp_image->allocate(m_componentCount, w, m_height, m_depth);
|
|
tmp_image2->allocate(m_componentCount, w, m_height, d);
|
|
dst_image->allocate(m_componentCount, w, h, d);
|
|
|
|
Array<float> tmp_column(h);
|
|
tmp_column.resize(h);
|
|
|
|
for (uint c = 0; c < m_componentCount; c++)
|
|
{
|
|
float * tmp_channel = tmp_image->channel(c);
|
|
|
|
// split width in half
|
|
for (uint z = 0; z < m_depth; z++ ) {
|
|
for (uint y = 0; y < m_height; y++) {
|
|
this->applyKernelX(xkernel, y, z, c, wm, tmp_channel + z * m_height * w + y * w);
|
|
}
|
|
}
|
|
|
|
// split depth in half
|
|
float * tmp2_channel = tmp_image2->channel(c);
|
|
for (uint y = 0; y < m_height; y++) {
|
|
for (uint x = 0; x < w; x++) {
|
|
tmp_image->applyKernelZ(zkernel, x, y, c, wm, tmp_column.buffer() );
|
|
|
|
for (uint z = 0; z < d; z++) {
|
|
tmp2_channel[z * m_height * w + y * w + x] = tmp_column[z];
|
|
}
|
|
}
|
|
}
|
|
|
|
// split height in half
|
|
float * dst_channel = dst_image->channel(c);
|
|
|
|
for (uint z = 0; z < d; z++ ) {
|
|
for (uint x = 0; x < w; x++) {
|
|
tmp_image2->applyKernelY(ykernel, x, z, c, wm, tmp_column.buffer());
|
|
|
|
for (uint y = 0; y < h; y++) {
|
|
dst_channel[z * h * w + y * w + x] = tmp_column[y];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return dst_image.release();
|
|
}
|
|
|
|
|
|
/// Downsample applying a 1D kernel separately in each dimension.
|
|
FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode wm, uint alpha) const
|
|
{
|
|
nvCheck(alpha < m_componentCount);
|
|
|
|
AutoPtr<FloatImage> tmp_image( new FloatImage() );
|
|
AutoPtr<FloatImage> dst_image( new FloatImage() );
|
|
|
|
PolyphaseKernel xkernel(filter, m_width, w, 32);
|
|
PolyphaseKernel ykernel(filter, m_height, h, 32);
|
|
|
|
{
|
|
tmp_image->allocate(m_componentCount, w, m_height);
|
|
dst_image->allocate(m_componentCount, w, h);
|
|
|
|
Array<float> tmp_column(h);
|
|
tmp_column.resize(h);
|
|
|
|
for (uint i = 0; i < m_componentCount; i++)
|
|
{
|
|
// Process alpha channel first.
|
|
uint c;
|
|
if (i == 0) c = alpha;
|
|
else if (i > alpha) c = i;
|
|
else c = i - 1;
|
|
|
|
for (uint z = 0; z < m_depth; z++)
|
|
{
|
|
float * tmp_plane = tmp_image->plane(c, z);
|
|
|
|
for (uint y = 0; y < m_height; y++) {
|
|
this->applyKernelX(xkernel, y, z, c, wm, tmp_plane + y * w);
|
|
}
|
|
|
|
float * dst_plane = dst_image->plane(c, z);
|
|
|
|
for (uint x = 0; x < w; x++) {
|
|
tmp_image->applyKernelY(ykernel, x, z, c, wm, tmp_column.buffer());
|
|
|
|
// @@ Avoid this copy, write directly to dst_plane.
|
|
for (uint y = 0; y < h; y++) {
|
|
dst_plane[y * w + x] = tmp_column[y];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return dst_image.release();
|
|
}
|
|
|
|
|
|
/// Downsample applying a 1D kernel separately in each dimension. (for 3d textures)
|
|
FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, uint d, WrapMode wm, uint alpha) const
|
|
{
|
|
nvCheck(alpha < m_componentCount);
|
|
|
|
// use the existing 2d version if we are a 2d image:
|
|
if (m_depth == d) {
|
|
return resize( filter, w, h, wm, alpha );
|
|
}
|
|
|
|
AutoPtr<FloatImage> tmp_image( new FloatImage() );
|
|
AutoPtr<FloatImage> tmp_image2( new FloatImage() );
|
|
AutoPtr<FloatImage> dst_image( new FloatImage() );
|
|
|
|
PolyphaseKernel xkernel(filter, m_width, w, 32);
|
|
PolyphaseKernel ykernel(filter, m_height, h, 32);
|
|
PolyphaseKernel zkernel(filter, m_depth, d, 32);
|
|
|
|
tmp_image->allocate(m_componentCount, w, m_height, m_depth);
|
|
tmp_image2->allocate(m_componentCount, w, m_height, d);
|
|
dst_image->allocate(m_componentCount, w, h, d);
|
|
|
|
Array<float> tmp_column(h);
|
|
tmp_column.resize(h);
|
|
|
|
for (uint i = 0; i < m_componentCount; i++)
|
|
{
|
|
// Process alpha channel first.
|
|
uint c;
|
|
if (i == 0) c = alpha;
|
|
else if (i > alpha) c = i;
|
|
else c = i - 1;
|
|
|
|
float * tmp_channel = tmp_image->channel(c);
|
|
|
|
for (uint z = 0; z < m_depth; z++ ) {
|
|
for (uint y = 0; y < m_height; y++) {
|
|
this->applyKernelX(xkernel, y, z, c, wm, tmp_channel + z * m_height * w + y * w);
|
|
}
|
|
}
|
|
|
|
float * tmp2_channel = tmp_image2->channel(c);
|
|
for (uint y = 0; y < m_height; y++) {
|
|
for (uint x = 0; x < w; x++) {
|
|
tmp_image->applyKernelZ(zkernel, x, y, c, wm, tmp_column.buffer() );
|
|
|
|
for (uint z = 0; z < d; z++) {
|
|
tmp2_channel[z * m_height * w + y * w + x] = tmp_column[z];
|
|
}
|
|
}
|
|
}
|
|
|
|
float * dst_channel = dst_image->channel(c);
|
|
|
|
for (uint z = 0; z < d; z++ ) {
|
|
for (uint x = 0; x < w; x++) {
|
|
tmp_image2->applyKernelY(ykernel, x, z, c, wm, tmp_column.buffer());
|
|
|
|
for (uint y = 0; y < h; y++) {
|
|
dst_channel[z * h * w + y * w + x] = tmp_column[y];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return dst_image.release();
|
|
}
|
|
|
|
|
|
void FloatImage::convolve(const Kernel2 & k, uint c, WrapMode wm)
|
|
{
|
|
AutoPtr<FloatImage> tmpImage(clone());
|
|
|
|
uint w = m_width;
|
|
uint h = m_height;
|
|
uint d = m_depth;
|
|
|
|
for (uint z = 0; z < d; z++)
|
|
{
|
|
for (uint y = 0; y < h; y++)
|
|
{
|
|
for (uint x = 0; x < w; x++)
|
|
{
|
|
pixel(c, x, y, 0) = tmpImage->applyKernelXY(&k, x, y, z, c, wm);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
/// Apply 2D kernel at the given coordinates and return result.
|
|
float FloatImage::applyKernelXY(const Kernel2 * k, int x, int y, int z, uint c, WrapMode wm) const
|
|
{
|
|
nvDebugCheck(k != NULL);
|
|
|
|
const uint kernelWindow = k->windowSize();
|
|
const int kernelOffset = int(kernelWindow / 2);
|
|
|
|
const float * channel = this->plane(c, z);
|
|
|
|
float sum = 0.0f;
|
|
for (uint i = 0; i < kernelWindow; i++)
|
|
{
|
|
int src_y = int(y + i) - kernelOffset;
|
|
|
|
for (uint e = 0; e < kernelWindow; e++)
|
|
{
|
|
int src_x = int(x + e) - kernelOffset;
|
|
|
|
int idx = this->index(src_x, src_y, z, wm);
|
|
|
|
sum += k->valueAt(e, i) * channel[idx];
|
|
}
|
|
}
|
|
|
|
return sum;
|
|
}
|
|
|
|
|
|
/// Apply 1D horizontal kernel at the given coordinates and return result.
|
|
float FloatImage::applyKernelX(const Kernel1 * k, int x, int y, int z, uint c, WrapMode wm) const
|
|
{
|
|
nvDebugCheck(k != NULL);
|
|
|
|
const uint kernelWindow = k->windowSize();
|
|
const int kernelOffset = int(kernelWindow / 2);
|
|
|
|
const float * channel = this->channel(c);
|
|
|
|
float sum = 0.0f;
|
|
for (uint i = 0; i < kernelWindow; i++)
|
|
{
|
|
const int src_x = int(x + i) - kernelOffset;
|
|
const int idx = this->index(src_x, y, z, wm);
|
|
|
|
sum += k->valueAt(i) * channel[idx];
|
|
}
|
|
|
|
return sum;
|
|
}
|
|
|
|
/// Apply 1D vertical kernel at the given coordinates and return result.
|
|
float FloatImage::applyKernelY(const Kernel1 * k, int x, int y, int z, uint c, WrapMode wm) const
|
|
{
|
|
nvDebugCheck(k != NULL);
|
|
|
|
const uint kernelWindow = k->windowSize();
|
|
const int kernelOffset = int(kernelWindow / 2);
|
|
|
|
const float * channel = this->channel(c);
|
|
|
|
float sum = 0.0f;
|
|
for (uint i = 0; i < kernelWindow; i++)
|
|
{
|
|
const int src_y = int(y + i) - kernelOffset;
|
|
const int idx = this->index(x, src_y, z, wm);
|
|
|
|
sum += k->valueAt(i) * channel[idx];
|
|
}
|
|
|
|
return sum;
|
|
}
|
|
|
|
/// Apply 1D kernel in the z direction at the given coordinates and return result.
|
|
float FloatImage::applyKernelZ(const Kernel1 * k, int x, int y, int z, uint c, WrapMode wm) const
|
|
{
|
|
nvDebugCheck(k != NULL);
|
|
|
|
const uint kernelWindow = k->windowSize();
|
|
const int kernelOffset = int(kernelWindow / 2);
|
|
|
|
const float * channel = this->channel(c);
|
|
|
|
float sum = 0.0f;
|
|
for (uint i = 0; i < kernelWindow; i++)
|
|
{
|
|
const int src_z = int(z + i) - kernelOffset;
|
|
const int idx = this->index(x, y, src_z, wm);
|
|
|
|
sum += k->valueAt(i) * channel[idx];
|
|
}
|
|
|
|
return sum;
|
|
}
|
|
|
|
|
|
/// Apply 1D horizontal kernel at the given coordinates and return result.
|
|
void FloatImage::applyKernelX(const PolyphaseKernel & k, int y, int z, uint c, WrapMode wm, float * __restrict output) const
|
|
{
|
|
const uint length = k.length();
|
|
const float scale = float(length) / float(m_width);
|
|
const float iscale = 1.0f / scale;
|
|
|
|
const float width = k.width();
|
|
const int windowSize = k.windowSize();
|
|
|
|
const float * channel = this->channel(c);
|
|
|
|
for (uint i = 0; i < length; i++)
|
|
{
|
|
const float center = (0.5f + i) * iscale;
|
|
|
|
const int left = (int)floorf(center - width);
|
|
const int right = (int)ceilf(center + width);
|
|
nvDebugCheck(right - left <= windowSize);
|
|
|
|
float sum = 0;
|
|
for (int j = 0; j < windowSize; ++j)
|
|
{
|
|
const int idx = this->index(left + j, y, z, wm);
|
|
|
|
sum += k.valueAt(i, j) * channel[idx];
|
|
}
|
|
|
|
output[i] = sum;
|
|
}
|
|
}
|
|
|
|
/// Apply 1D vertical kernel at the given coordinates and return result.
|
|
void FloatImage::applyKernelY(const PolyphaseKernel & k, int x, int z, uint c, WrapMode wm, float * __restrict output) const
|
|
{
|
|
const uint length = k.length();
|
|
const float scale = float(length) / float(m_height);
|
|
const float iscale = 1.0f / scale;
|
|
|
|
const float width = k.width();
|
|
const int windowSize = k.windowSize();
|
|
|
|
const float * channel = this->channel(c);
|
|
|
|
for (uint i = 0; i < length; i++)
|
|
{
|
|
const float center = (0.5f + i) * iscale;
|
|
|
|
const int left = (int)floorf(center - width);
|
|
const int right = (int)ceilf(center + width);
|
|
nvCheck(right - left <= windowSize);
|
|
|
|
float sum = 0;
|
|
for (int j = 0; j < windowSize; ++j)
|
|
{
|
|
const int idx = this->index(x, j+left, z, wm);
|
|
|
|
sum += k.valueAt(i, j) * channel[idx];
|
|
}
|
|
|
|
output[i] = sum;
|
|
}
|
|
}
|
|
|
|
/// Apply 1D kernel in the Z direction at the given coordinates and return result.
|
|
void FloatImage::applyKernelZ(const PolyphaseKernel & k, int x, int y, uint c, WrapMode wm, float * __restrict output) const
|
|
{
|
|
const uint length = k.length();
|
|
const float scale = float(length) / float(m_height);
|
|
const float iscale = 1.0f / scale;
|
|
|
|
const float width = k.width();
|
|
const int windowSize = k.windowSize();
|
|
|
|
const float * channel = this->channel(c);
|
|
|
|
for (uint i = 0; i < length; i++)
|
|
{
|
|
const float center = (0.5f + i) * iscale;
|
|
|
|
const int left = (int)floorf(center - width);
|
|
const int right = (int)ceilf(center + width);
|
|
nvCheck(right - left <= windowSize);
|
|
|
|
float sum = 0;
|
|
for (int j = 0; j < windowSize; ++j)
|
|
{
|
|
const int idx = this->index(x, y, j+left, wm);
|
|
|
|
sum += k.valueAt(i, j) * channel[idx];
|
|
}
|
|
|
|
output[i] = sum;
|
|
}
|
|
}
|
|
|
|
|
|
/// Apply 1D horizontal kernel at the given coordinates and return result.
|
|
void FloatImage::applyKernelX(const PolyphaseKernel & k, int y, int z, uint c, uint a, WrapMode wm, float * __restrict output) const
|
|
{
|
|
const uint length = k.length();
|
|
const float scale = float(length) / float(m_width);
|
|
const float iscale = 1.0f / scale;
|
|
|
|
const float width = k.width();
|
|
const int windowSize = k.windowSize();
|
|
|
|
const float * channel = this->channel(c);
|
|
const float * alpha = this->channel(a);
|
|
|
|
for (uint i = 0; i < length; i++)
|
|
{
|
|
const float center = (0.5f + i) * iscale;
|
|
|
|
const int left = (int)floorf(center - width);
|
|
const int right = (int)ceilf(center + width);
|
|
nvDebugCheck(right - left <= windowSize);
|
|
|
|
float norm = 0.0f;
|
|
float sum = 0;
|
|
for (int j = 0; j < windowSize; ++j)
|
|
{
|
|
const int idx = this->index(left + j, y, z, wm);
|
|
|
|
float w = k.valueAt(i, j) * (alpha[idx] + (1.0f / 256.0f));
|
|
norm += w;
|
|
sum += w * channel[idx];
|
|
}
|
|
|
|
output[i] = sum / norm;
|
|
}
|
|
}
|
|
|
|
/// Apply 1D vertical kernel at the given coordinates and return result.
|
|
void FloatImage::applyKernelY(const PolyphaseKernel & k, int x, int z, uint c, uint a, WrapMode wm, float * __restrict output) const
|
|
{
|
|
const uint length = k.length();
|
|
const float scale = float(length) / float(m_height);
|
|
const float iscale = 1.0f / scale;
|
|
|
|
const float width = k.width();
|
|
const int windowSize = k.windowSize();
|
|
|
|
const float * channel = this->channel(c);
|
|
const float * alpha = this->channel(a);
|
|
|
|
for (uint i = 0; i < length; i++)
|
|
{
|
|
const float center = (0.5f + i) * iscale;
|
|
|
|
const int left = (int)floorf(center - width);
|
|
const int right = (int)ceilf(center + width);
|
|
nvCheck(right - left <= windowSize);
|
|
|
|
float norm = 0;
|
|
float sum = 0;
|
|
for (int j = 0; j < windowSize; ++j)
|
|
{
|
|
const int idx = this->index(x, j+left, z, wm);
|
|
|
|
float w = k.valueAt(i, j) * (alpha[idx] + (1.0f / 256.0f));
|
|
norm += w;
|
|
sum += w * channel[idx];
|
|
}
|
|
|
|
output[i] = sum / norm;
|
|
}
|
|
}
|
|
|
|
/// Apply 1D horizontal kernel at the given coordinates and return result.
|
|
void FloatImage::applyKernelZ(const PolyphaseKernel & k, int x, int y, uint c, uint a, WrapMode wm, float * __restrict output) const
|
|
{
|
|
const uint length = k.length();
|
|
const float scale = float(length) / float(m_width);
|
|
const float iscale = 1.0f / scale;
|
|
|
|
const float width = k.width();
|
|
const int windowSize = k.windowSize();
|
|
|
|
const float * channel = this->channel(c);
|
|
const float * alpha = this->channel(a);
|
|
|
|
for (uint i = 0; i < length; i++)
|
|
{
|
|
const float center = (0.5f + i) * iscale;
|
|
|
|
const int left = (int)floorf(center - width);
|
|
const int right = (int)ceilf(center + width);
|
|
nvDebugCheck(right - left <= windowSize);
|
|
|
|
float norm = 0.0f;
|
|
float sum = 0;
|
|
for (int j = 0; j < windowSize; ++j)
|
|
{
|
|
const int idx = this->index(x, y, left + j, wm);
|
|
|
|
float w = k.valueAt(i, j) * (alpha[idx] + (1.0f / 256.0f));
|
|
norm += w;
|
|
sum += w * channel[idx];
|
|
}
|
|
|
|
output[i] = sum / norm;
|
|
}
|
|
}
|
|
|
|
|
|
void FloatImage::flipX()
|
|
{
|
|
const uint w = m_width;
|
|
const uint h = m_height;
|
|
const uint d = m_depth;
|
|
const uint w2 = w / 2;
|
|
|
|
for (uint c = 0; c < m_componentCount; c++) {
|
|
for (uint z = 0; z < d; z++) {
|
|
for (uint y = 0; y < h; y++) {
|
|
float * line = scanline(c, y, z);
|
|
for (uint x = 0; x < w2; x++) {
|
|
swap(line[x], line[w - 1 - x]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void FloatImage::flipY()
|
|
{
|
|
const uint w = m_width;
|
|
const uint h = m_height;
|
|
const uint d = m_depth;
|
|
const uint h2 = h / 2;
|
|
|
|
for (uint c = 0; c < m_componentCount; c++) {
|
|
for (uint z = 0; z < d; z++) {
|
|
for (uint y = 0; y < h2; y++) {
|
|
float * src = scanline(c, y, z);
|
|
float * dst = scanline(c, h - 1 - y, z);
|
|
for (uint x = 0; x < w; x++) {
|
|
swap(src[x], dst[x]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void FloatImage::flipZ()
|
|
{
|
|
const uint w = m_width;
|
|
const uint h = m_height;
|
|
const uint d = m_depth;
|
|
const uint d2 = d / 2;
|
|
|
|
for (uint c = 0; c < m_componentCount; c++) {
|
|
for (uint z = 0; z < d2; z++) {
|
|
float * src = plane(c, z);
|
|
float * dst = plane(c, d - 1 - z);
|
|
for (uint i = 0; i < w*h; i++) {
|
|
swap(src[i], dst[i]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
|
|
float FloatImage::alphaTestCoverage(float alphaRef, int alphaChannel, float alphaScale/*=1*/) const
|
|
{
|
|
const uint w = m_width;
|
|
const uint h = m_height;
|
|
|
|
float coverage = 0.0f;
|
|
|
|
#if 0
|
|
const float * alpha = channel(alphaChannel);
|
|
|
|
const uint count = m_pixelCount;
|
|
for (uint i = 0; i < count; i++) {
|
|
if (alpha[i] > alphaRef) coverage += 1.0f; // @@ gt or lt?
|
|
}
|
|
|
|
return coverage / float(w * h);
|
|
#else
|
|
const uint n = 8;
|
|
|
|
// If we want subsampling:
|
|
for (uint y = 0; y < h-1; y++) {
|
|
for (uint x = 0; x < w-1; x++) {
|
|
|
|
float alpha00 = nv::saturate(pixel(alphaChannel, x+0, y+0, 0) * alphaScale);
|
|
float alpha10 = nv::saturate(pixel(alphaChannel, x+1, y+0, 0) * alphaScale);
|
|
float alpha01 = nv::saturate(pixel(alphaChannel, x+0, y+1, 0) * alphaScale);
|
|
float alpha11 = nv::saturate(pixel(alphaChannel, x+1, y+1, 0) * alphaScale);
|
|
|
|
for (float fy = 0.5f/n; fy < 1.0f; fy++) {
|
|
for (float fx = 0.5f/n; fx < 1.0f; fx++) {
|
|
float alpha = alpha00 * (1 - fx) * (1 - fy) + alpha10 * fx * (1 - fy) + alpha01 * (1 - fx) * fy + alpha11 * fx * fy;
|
|
if (alpha > alphaRef) coverage += 1.0f;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return coverage / float(w * h * n * n);
|
|
#endif
|
|
}
|
|
|
|
void FloatImage::scaleAlphaToCoverage(float desiredCoverage, float alphaRef, int alphaChannel)
|
|
{
|
|
#if 0
|
|
float minAlphaRef = 0.0f;
|
|
float maxAlphaRef = 1.0f;
|
|
float midAlphaRef = 0.5f;
|
|
|
|
// Determine desired scale using a binary search. Hardcoded to 8 steps max.
|
|
for (int i = 0; i < 10; i++) {
|
|
float currentCoverage = alphaTestCoverage(midAlphaRef, alphaChannel);
|
|
|
|
if (currentCoverage > desiredCoverage) {
|
|
minAlphaRef = midAlphaRef;
|
|
}
|
|
else if (currentCoverage < desiredCoverage) {
|
|
maxAlphaRef = midAlphaRef;
|
|
}
|
|
else {
|
|
break;
|
|
}
|
|
|
|
midAlphaRef = (minAlphaRef + maxAlphaRef) * 0.5f;
|
|
}
|
|
|
|
float alphaScale = alphaRef / midAlphaRef;
|
|
|
|
// Scale alpha channel.
|
|
scaleBias(alphaChannel, 1, alphaScale, 0.0f);
|
|
clamp(alphaChannel, 1, 0.0f, 1.0f);
|
|
#else
|
|
float minAlphaScale = 0.0f;
|
|
float maxAlphaScale = 4.0f;
|
|
float alphaScale = 1.0f;
|
|
|
|
// Determine desired scale using a binary search. Hardcoded to 8 steps max.
|
|
for (int i = 0; i < 10; i++) {
|
|
float currentCoverage = alphaTestCoverage(alphaRef, alphaChannel, alphaScale);
|
|
|
|
if (currentCoverage < desiredCoverage) {
|
|
minAlphaScale = alphaScale;
|
|
}
|
|
else if (currentCoverage > desiredCoverage) {
|
|
maxAlphaScale = alphaScale;
|
|
}
|
|
else {
|
|
break;
|
|
}
|
|
|
|
alphaScale = (minAlphaScale + maxAlphaScale) * 0.5f;
|
|
}
|
|
|
|
// Scale alpha channel.
|
|
scaleBias(alphaChannel, 1, alphaScale, 0.0f);
|
|
clamp(alphaChannel, 1, 0.0f, 1.0f);
|
|
#endif
|
|
#if _DEBUG
|
|
alphaTestCoverage(alphaRef, alphaChannel);
|
|
#endif
|
|
}
|
|
|
|
FloatImage* FloatImage::clone() const
|
|
{
|
|
FloatImage* copy = new FloatImage();
|
|
|
|
copy->allocate(m_componentCount, m_width, m_height, m_depth);
|
|
memcpy(copy->m_mem, m_mem, m_floatCount * sizeof(float));
|
|
|
|
return copy;
|
|
}
|
|
|