Implement general scale filter, including upsampling
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@ -2,6 +2,7 @@ NVIDIA Texture Tools version 2.0.4
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* Fix error in RGB format output; reported by jonsoh. See issue 49.
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* Added support RGB format dithering by jonsoh. Fixes issue 50 and 51.
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* Prevent infinite loop in indexMirror when width equal 1. Fixes issue 65.
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* Implement general scale filter, including upsampling.
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NVIDIA Texture Tools version 2.0.3
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* More accurate DXT3 compressor. Fixes issue 38.
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@ -26,10 +26,10 @@
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* http://www.xmission.com/~legalize/zoom.html
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*
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* Reconstruction Filters in Computer Graphics
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* http://www.mentallandscape.com/Papers_siggraph88.pdf
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* http://www.mentallandscape.com/Papers_siggraph88.pdf
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*
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* More references:
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* http://www.worldserver.com/turk/computergraphics/ResamplingFilters.pdf
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* http://www.worldserver.com/turk/computergraphics/ResamplingFilters.pdf
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* http://www.dspguide.com/ch16.htm
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*/
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@ -541,12 +541,17 @@ void Kernel2::initBlendedSobel(const Vector4 & scale)
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PolyphaseKernel::PolyphaseKernel(const Filter & f, uint srcLength, uint dstLength, int samples/*= 32*/)
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{
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nvCheck(srcLength >= dstLength); // @@ Upsampling not implemented!
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nvDebugCheck(samples > 0);
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const float scale = float(dstLength) / float(srcLength);
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float scale = float(dstLength) / float(srcLength);
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const float iscale = 1.0f / scale;
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if (scale > 1) {
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// Upsampling.
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samples = 1;
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scale = 1;
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}
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m_length = dstLength;
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m_width = f.width() * iscale;
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m_windowSize = (int)ceilf(m_width * 2) + 1;
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@ -577,6 +582,7 @@ PolyphaseKernel::PolyphaseKernel(const Filter & f, uint srcLength, uint dstLengt
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m_data[i * m_windowSize + j] /= total;
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}
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}
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}
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PolyphaseKernel::~PolyphaseKernel()
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@ -540,73 +540,18 @@ FloatImage * FloatImage::fastDownSample() const
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return dst_image.release();
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}
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/*
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/// Downsample applying a 1D kernel separately in each dimension.
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FloatImage * FloatImage::downSample(const Kernel1 & kernel, WrapMode wm) const
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{
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const uint w = max(1, m_width / 2);
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const uint h = max(1, m_height / 2);
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return downSample(kernel, w, h, wm);
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}
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/// Downsample applying a 1D kernel separately in each dimension.
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FloatImage * FloatImage::downSample(const Kernel1 & kernel, uint w, uint h, WrapMode wm) const
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{
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nvCheck(!(kernel.windowSize() & 1)); // Make sure that kernel m_width is even.
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AutoPtr<FloatImage> tmp_image( new FloatImage() );
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tmp_image->allocate(m_componentNum, w, m_height);
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AutoPtr<FloatImage> dst_image( new FloatImage() );
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dst_image->allocate(m_componentNum, w, h);
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const float xscale = float(m_width) / float(w);
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const float yscale = float(m_height) / float(h);
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for(uint c = 0; c < m_componentNum; c++) {
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float * tmp_channel = tmp_image->channel(c);
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for(uint y = 0; y < m_height; y++) {
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for(uint x = 0; x < w; x++) {
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float sum = this->applyKernelHorizontal(&kernel, uint(x*xscale), y, c, wm);
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const uint tmp_index = tmp_image->index(x, y);
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tmp_channel[tmp_index] = sum;
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}
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}
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float * dst_channel = dst_image->channel(c);
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for(uint y = 0; y < h; y++) {
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for(uint x = 0; x < w; x++) {
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float sum = tmp_image->applyKernelVertical(&kernel, uint(x*xscale), uint(y*yscale), c, wm);
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const uint dst_index = dst_image->index(x, y);
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dst_channel[dst_index] = sum;
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}
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}
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}
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return dst_image.release();
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}
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*/
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/// Downsample applying a 1D kernel separately in each dimension.
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FloatImage * FloatImage::downSample(const Filter & filter, WrapMode wm) const
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{
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const uint w = max(1, m_width / 2);
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const uint h = max(1, m_height / 2);
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return downSample(filter, w, h, wm);
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return resize(filter, w, h, wm);
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}
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/// Downsample applying a 1D kernel separately in each dimension.
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FloatImage * FloatImage::downSample(const Filter & filter, uint w, uint h, WrapMode wm) const
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FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode wm) const
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{
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// @@ Use monophase filters when frac(m_width / w) == 0
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@ -63,7 +63,7 @@ public:
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NVIMAGE_API FloatImage * fastDownSample() const;
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NVIMAGE_API FloatImage * downSample(const Filter & filter, WrapMode wm) const;
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NVIMAGE_API FloatImage * downSample(const Filter & filter, uint w, uint h, WrapMode wm) const;
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NVIMAGE_API FloatImage * resize(const Filter & filter, uint w, uint h, WrapMode wm) const;
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//NVIMAGE_API FloatImage * downSample(const Kernel1 & filter, WrapMode wm) const;
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//NVIMAGE_API FloatImage * downSample(const Kernel1 & filter, uint w, uint h, WrapMode wm) const;
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@ -571,7 +571,7 @@ void Compressor::Private::scaleMipmap(Mipmap & mipmap, const InputOptions::Priva
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// Resize image.
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BoxFilter boxFilter;
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mipmap.setImage(mipmap.asFloatImage()->downSample(boxFilter, w, h, (FloatImage::WrapMode)inputOptions.wrapMode));
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mipmap.setImage(mipmap.asFloatImage()->resize(boxFilter, w, h, (FloatImage::WrapMode)inputOptions.wrapMode));
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}
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@ -73,10 +73,12 @@ int main(int argc, char *argv[])
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float scale = 0.5f;
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float gamma = 2.2f;
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nv::Filter * filter = NULL;
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nv::AutoPtr<nv::Filter> filter;
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nv::Path input;
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nv::Path output;
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nv::FloatImage::WrapMode wrapMode = nv::FloatImage::WrapMode_Mirror;
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// Parse arguments.
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for (int i = 1; i < argc; i++)
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{
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@ -108,9 +110,18 @@ int main(int argc, char *argv[])
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else if (strcmp("lanczos", argv[i]) == 0) filter = new nv::LanczosFilter();
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else if (strcmp("kaiser", argv[i]) == 0) {
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filter = new nv::KaiserFilter(3);
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((nv::KaiserFilter *)filter)->setParameters(4.0f, 1.0f);
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((nv::KaiserFilter *)filter.ptr())->setParameters(4.0f, 1.0f);
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}
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}
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else if (strcmp("-f", argv[i]) == 0)
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{
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if (i+1 == argc) break;
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i++;
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if (strcmp("mirror", argv[i]) == 0) wrapMode = nv::FloatImage::WrapMode_Mirror;
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else if (strcmp("repeat", argv[i]) == 0) wrapMode = nv::FloatImage::WrapMode_Repeat;
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else if (strcmp("clamp", argv[i]) == 0) wrapMode = nv::FloatImage::WrapMode_Clamp;
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}
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else if (argv[i][0] != '-')
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{
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input = argv[i];
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@ -140,6 +151,10 @@ int main(int argc, char *argv[])
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printf(" * mitchell\n");
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printf(" * lanczos\n");
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printf(" * kaiser\n");
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printf(" -w mode One of the following: (default = 'mirror')\n");
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printf(" * mirror\n");
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printf(" * repeat\n");
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printf(" * clamp\n");
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return 1;
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}
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@ -155,15 +170,14 @@ int main(int argc, char *argv[])
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nv::FloatImage fimage(&image);
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fimage.toLinear(0, 3, gamma);
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nv::AutoPtr<nv::FloatImage> fresult(fimage.downSample(*filter, uint(image.width() * scale), uint(image.height() * scale), nv::FloatImage::WrapMode_Mirror));
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nv::AutoPtr<nv::FloatImage> fresult(fimage.resize(*filter, uint(image.width() * scale), uint(image.height() * scale), wrapMode));
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nv::AutoPtr<nv::Image> result(fresult->createImageGammaCorrect(gamma));
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result->setFormat(nv::Image::Format_ARGB);
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nv::StdOutputStream stream(output);
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nv::ImageIO::saveTGA(stream, result.ptr()); // @@ Add generic save function. Add support for png too.
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delete filter;
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return 0;
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}
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