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nvidia-texture-tools
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Implement quantization.

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pull/216/head
castano 13 years ago
parent 95b5e1decd
commit 12bf7f9346
3 changed files with 126 additions and 45 deletions
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16
src/nvtt/Context.cpp
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@ -341,21 +341,19 @@ void Compressor::Private::quantize(TexImage & img, const CompressionOptions::Pri
{
if (compressionOptions.enableColorDithering) {
if (compressionOptions.format >= Format_BC1 && compressionOptions.format <= Format_BC3) {
img.quantize(0, 5, true);
img.quantize(1, 6, true);
img.quantize(2, 5, true);
img.quantize(0, 5, true, true);
img.quantize(1, 6, true, true);
img.quantize(2, 5, true, true);
}
else if (compressionOptions.format == Format_RGB) {
img.quantize(0, compressionOptions.rsize, true);
img.quantize(1, compressionOptions.gsize, true);
img.quantize(2, compressionOptions.bsize, true);
img.quantize(0, compressionOptions.rsize, true, true);
img.quantize(1, compressionOptions.gsize, true, true);
img.quantize(2, compressionOptions.bsize, true, true);
}
}
if (compressionOptions.enableAlphaDithering) {
if (compressionOptions.format == Format_RGB) {
img.quantize(0, compressionOptions.rsize, true);
img.quantize(1, compressionOptions.gsize, true);
img.quantize(2, compressionOptions.bsize, true);
img.quantize(3, compressionOptions.asize, true, true);
}
}
else if (compressionOptions.binaryAlpha) {

148
src/nvtt/TexImage.cpp
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@ -1038,33 +1038,6 @@ void TexImage::scaleAlphaToCoverage(float coverage, float alphaRef/*= 0.5f*/)
m->image->scaleAlphaToCoverage(coverage, alphaRef, 3);
}
/*bool TexImage::normalizeRange(float * rangeMin, float * rangeMax)
{
if (m->image == NULL) return false;
range(0, rangeMin, rangeMax);
if (*rangeMin == *rangeMax) {
// Single color image.
return false;
}
const float scale = 1.0f / (*rangeMax - *rangeMin);
const float bias = *rangeMin * scale;
if (range.x == 0.0f && range.y == 1.0f) {
// Already normalized.
return true;
}
detach();
// Scale to range.
img->scaleBias(0, 4, scale, bias);
//img->clamp(0, 4, 0.0f, 1.0f);
return true;
}*/
// Ideally you should compress/quantize the RGB and M portions independently.
// Once you have M quantized, you would compute the corresponding RGB and quantize that.
@ -1300,6 +1273,7 @@ void TexImage::abs(int channel)
}
}
/*
void TexImage::blockLuminanceScale(float scale)
{
if (m->image == NULL) return;
@ -1372,7 +1346,9 @@ void TexImage::blockLuminanceScale(float scale)
}
}
}
*/
/*
void TexImage::toJPEGLS()
{
if (m->image == NULL) return;
@ -1418,17 +1394,127 @@ void TexImage::fromJPEGLS()
b[i] = B+G;
}
}
*/
void TexImage::binarize(int channel, float threshold, bool dither)
{
#pragma NV_MESSAGE("binarize not implemented")
if (m->image == NULL) return;
detach();
FloatImage * img = m->image;
const uint w = img->width();
const uint h = img->height();
if (!dither) {
float * c = img->channel(channel);
const uint count = w * h;
for (uint i = 0; i < count; i++) {
c[i] = float(c[i] > threshold);
}
}
else {
float * row0 = new float[(w+2)];
float * row1 = new float[(w+2)];
memset(row0, 0, sizeof(float)*(w+2));
memset(row1, 0, sizeof(float)*(w+2));
for (uint y = 0; y < h; y++) {
for (uint x = 0; x < w; x++) {
float & f = img->pixel(x, y, channel);
// Add error and quantize.
float qf = float(f + row0[1+x] > threshold);
// Compute new error:
float diff = f - qf;
// Store color.
f = qf;
// Propagate new error.
row0[1+x+1] += (7.0f / 16.0f) * diff;
row1[1+x-1] += (3.0f / 16.0f) * diff;
row1[1+x+0] += (5.0f / 16.0f) * diff;
row1[1+x+1] += (1.0f / 16.0f) * diff;
}
swap(row0, row1);
memset(row1, 0, sizeof(float)*(w+2));
}
delete [] row0;
delete [] row1;
}
}
void TexImage::quantize(int channel, int bits, bool dither)
// Uniform quantizer.
// Assumes input is in [0, 1] range. Output is in the [0, 1] range, but rounded to the middle of each bin.
// If exactEndPoints is true, [0, 1] are represented exactly, and the correponding bins are half the size, so quantization is not truly uniform.
void TexImage::quantize(int channel, int bits, bool exactEndPoints, bool dither)
{
#pragma NV_MESSAGE("quantize not implemented")
if (m->image == NULL) return;
detach();
FloatImage * img = m->image;
const uint w = img->width();
const uint h = img->height();
float scale, offset;
if (exactEndPoints) {
scale = (1 << bits) - 1;
offset = 0.0f;
}
else {
scale = (1 << bits);
offset = 0.5f;
}
if (!dither) {
float * c = img->channel(channel);
const uint count = w * h;
for (uint i = 0; i < count; i++) {
c[i] = floorf(c[i] * scale + offset) / scale;
}
}
else {
float * row0 = new float[(w+2)];
float * row1 = new float[(w+2)];
memset(row0, 0, sizeof(float)*(w+2));
memset(row1, 0, sizeof(float)*(w+2));
for (uint y = 0; y < h; y++) {
for (uint x = 0; x < w; x++) {
float & f = img->pixel(x, y, channel);
// Add error and quantize.
float qf = floorf((f + row0[1+x]) * scale + offset) / scale;
// Compute new error:
float diff = f - qf;
// Store color.
f = qf;
// Propagate new error.
row0[1+x+1] += (7.0f / 16.0f) * diff;
row1[1+x-1] += (3.0f / 16.0f) * diff;
row1[1+x+0] += (5.0f / 16.0f) * diff;
row1[1+x+1] += (1.0f / 16.0f) * diff;
}
swap(row0, row1);
memset(row1, 0, sizeof(float)*(w+2));
}
delete [] row0;
delete [] row1;
}
}

7
src/nvtt/nvtt.h
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@ -443,7 +443,6 @@ namespace nvtt
NVTT_API void setBorder(float r, float g, float b, float a);
NVTT_API void fill(float r, float g, float b, float a);
NVTT_API void scaleAlphaToCoverage(float coverage, float alphaRef = 0.5f);
//NVTT_API bool normalizeRange(float * rangeMin, float * rangeMax);
NVTT_API void toRGBM(float range = 1.0f, float threshold = 0.0f);
NVTT_API void fromRGBM(float range = 1.0f);
NVTT_API void toYCoCg();
@ -452,14 +451,12 @@ namespace nvtt
NVTT_API void toLUVW(float range = 1.0f);
NVTT_API void fromLUVW(float range = 1.0f);
NVTT_API void abs(int channel);
NVTT_API void toJPEGLS();
NVTT_API void fromJPEGLS();
NVTT_API void blockLuminanceScale(float scale);
//NVTT_API void blockLuminanceScale(float scale);
// Color quantization.
NVTT_API void binarize(int channel, float threshold, bool dither);
NVTT_API void quantize(int channel, int bits, bool dither);
NVTT_API void quantize(int channel, int bits, bool exactEndPoints, bool dither);
// Normal map transforms.
NVTT_API void toNormalMap(float sm, float medium, float big, float large);

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