REVIEWED: ImageKernelConvolution()
, formating and warnings
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1 changed files with 40 additions and 52 deletions
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@ -2135,11 +2135,12 @@ void ImageBlurGaussian(Image *image, int blurSize) {
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}
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}
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// The kernel matrix is assumed to be square. Only supply the width of the kernel.
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// The kernel matrix is assumed to be square. Only supply the width of the kernel.
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void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
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void ImageKernelConvolution(Image *image, float* kernel, int kernelSize)
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{
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if ((image->data == NULL) || (image->width == 0) || (image->height == 0) || kernel == NULL) return;
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if ((image->data == NULL) || (image->width == 0) || (image->height == 0) || kernel == NULL) return;
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int kernelWidth = (int)sqrtf((float)kernelSize);
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int kernelWidth = (int)sqrtf((float)kernelSize);
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if (kernelWidth*kernelWidth != kernelSize)
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if (kernelWidth*kernelWidth != kernelSize)
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{
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{
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TRACELOG(LOG_WARNING, "IMAGE: Convolution kernel must be square to be applied");
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TRACELOG(LOG_WARNING, "IMAGE: Convolution kernel must be square to be applied");
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@ -2152,7 +2153,8 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
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Vector4 *temp = RL_MALLOC(kernelSize*sizeof(Vector4));
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Vector4 *temp = RL_MALLOC(kernelSize*sizeof(Vector4));
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for(int i = 0; i < kernelSize; i++){
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for (int i = 0; i < kernelSize; i++)
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{
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temp[i].x = 0.0f;
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temp[i].x = 0.0f;
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temp[i].y = 0.0f;
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temp[i].y = 0.0f;
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temp[i].z = 0.0f;
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temp[i].z = 0.0f;
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@ -2164,44 +2166,49 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
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float bRes = 0.0f;
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float bRes = 0.0f;
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float aRes = 0.0f;
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float aRes = 0.0f;
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int startRange = 0, endRange = 0;
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int startRange, endRange;
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if (kernelWidth%2 == 0)
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if(kernelWidth % 2 == 0)
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{
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{
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startRange = -kernelWidth/2;
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startRange = -kernelWidth/2;
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endRange = kernelWidth/2;
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endRange = kernelWidth/2;
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} else
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}
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else
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{
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{
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startRange = -kernelWidth/2;
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startRange = -kernelWidth/2;
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endRange = kernelWidth/2+1;
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endRange = kernelWidth/2 + 1;
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}
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}
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for(int x = 0; x < image->height; x++)
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for(int x = 0; x < image->height; x++)
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{
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{
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for(int y = 0; y < image->width; y++)
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for (int y = 0; y < image->width; y++)
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{
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{
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for (int xk = startRange; xk < endRange; xk++)
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for(int xk = startRange; xk < endRange; xk++)
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{
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{
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for(int yk = startRange; yk < endRange; yk++)
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for (int yk = startRange; yk < endRange; yk++)
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{
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{
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int xkabs = xk + kernelWidth/2;
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int xkabs = xk + kernelWidth/2;
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int ykabs = yk + kernelWidth/2;
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int ykabs = yk + kernelWidth/2;
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size_t imgindex = image->width * (x+xk) + (y+yk);
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unsigned int imgindex = image->width*(x + xk) + (y + yk);
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if(imgindex < 0 || imgindex >= image->width * image->height){
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if (imgindex >= image->width*image->height)
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{
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temp[kernelWidth * xkabs + ykabs].x = 0.0f;
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temp[kernelWidth * xkabs + ykabs].x = 0.0f;
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temp[kernelWidth * xkabs + ykabs].y = 0.0f;
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temp[kernelWidth * xkabs + ykabs].y = 0.0f;
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temp[kernelWidth * xkabs + ykabs].z = 0.0f;
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temp[kernelWidth * xkabs + ykabs].z = 0.0f;
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temp[kernelWidth * xkabs + ykabs].w = 0.0f;
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temp[kernelWidth * xkabs + ykabs].w = 0.0f;
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} else {
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}
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temp[kernelWidth * xkabs + ykabs].x = ((float)pixels[imgindex].r)/255.0f * kernel[kernelWidth * xkabs + ykabs];
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else
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temp[kernelWidth * xkabs + ykabs].y = ((float)pixels[imgindex].g)/255.0f * kernel[kernelWidth * xkabs + ykabs];
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{
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temp[kernelWidth * xkabs + ykabs].z = ((float)pixels[imgindex].b)/255.0f * kernel[kernelWidth * xkabs + ykabs];
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temp[kernelWidth * xkabs + ykabs].x = ((float)pixels[imgindex].r)/255.0f*kernel[kernelWidth*xkabs + ykabs];
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temp[kernelWidth * xkabs + ykabs].w = ((float)pixels[imgindex].a)/255.0f * kernel[kernelWidth * xkabs + ykabs];
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temp[kernelWidth * xkabs + ykabs].y = ((float)pixels[imgindex].g)/255.0f*kernel[kernelWidth*xkabs + ykabs];
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temp[kernelWidth * xkabs + ykabs].z = ((float)pixels[imgindex].b)/255.0f*kernel[kernelWidth*xkabs + ykabs];
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temp[kernelWidth * xkabs + ykabs].w = ((float)pixels[imgindex].a)/255.0f*kernel[kernelWidth*xkabs + ykabs];
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}
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}
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}
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}
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}
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}
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for(int i = 0; i < kernelSize; i++)
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for (int i = 0; i < kernelSize; i++)
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{
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{
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rRes += temp[i].x;
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rRes += temp[i].x;
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gRes += temp[i].y;
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gRes += temp[i].y;
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@ -2209,43 +2216,25 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
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aRes += temp[i].w;
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aRes += temp[i].w;
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}
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}
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if(rRes < 0.0f)
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if (rRes < 0.0f) rRes = 0.0f;
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{
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if (gRes < 0.0f) gRes = 0.0f;
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rRes = 0.0f;
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if (bRes < 0.0f) bRes = 0.0f;
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}
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if(gRes < 0.0f)
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{
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gRes = 0.0f;
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}
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if(bRes < 0.0f)
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{
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bRes = 0.0f;
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}
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if(rRes > 1.0f)
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if (rRes > 1.0f) rRes = 1.0f;
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{
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if (gRes > 1.0f) gRes = 1.0f;
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rRes = 1.0f;
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if (bRes > 1.0f) bRes = 1.0f;
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}
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if(gRes > 1.0f)
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{
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gRes = 1.0f;
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}
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if(bRes > 1.0f)
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{
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bRes = 1.0f;
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}
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imageCopy2[image->width * (x) + (y)].x = rRes;
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imageCopy2[image->width*x + y].x = rRes;
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imageCopy2[image->width * (x) + (y)].y = gRes;
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imageCopy2[image->width*x + y].y = gRes;
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imageCopy2[image->width * (x) + (y)].z = bRes;
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imageCopy2[image->width*x + y].z = bRes;
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imageCopy2[image->width * (x) + (y)].w = aRes;
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imageCopy2[image->width*x + y].w = aRes;
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rRes = 0.0f;
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rRes = 0.0f;
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gRes = 0.0f;
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gRes = 0.0f;
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bRes = 0.0f;
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bRes = 0.0f;
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aRes = 0.0f;
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aRes = 0.0f;
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for(int i = 0; i < kernelSize; i++)
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for (int i = 0; i < kernelSize; i++)
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{
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{
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temp[i].x = 0.0f;
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temp[i].x = 0.0f;
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temp[i].y = 0.0f;
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temp[i].y = 0.0f;
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@ -2255,17 +2244,16 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
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}
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}
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}
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}
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for (int i = 0; i < (image->width) * (image->height); i++)
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for (int i = 0; i < (image->width*image->height); i++)
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{
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{
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float alpha = (float)imageCopy2[i].w;
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float alpha = (float)imageCopy2[i].w;
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pixels[i].r = (unsigned char)((imageCopy2[i].x)*255.0f);
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pixels[i].r = (unsigned char)((imageCopy2[i].x)*255.0f);
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pixels[i].g = (unsigned char)((imageCopy2[i].y)*255.0f);
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pixels[i].g = (unsigned char)((imageCopy2[i].y)*255.0f);
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pixels[i].b = (unsigned char)((imageCopy2[i].z)*255.0f);
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pixels[i].b = (unsigned char)((imageCopy2[i].z)*255.0f);
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pixels[i].a = (unsigned char)((alpha)*255.0f);
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pixels[i].a = (unsigned char)((alpha)*255.0f);
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// printf("pixels[%d] = %d", i, pixels[i].r);
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}
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}
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int format = image->format;
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int format = image->format;
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RL_FREE(image->data);
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RL_FREE(image->data);
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RL_FREE(imageCopy2);
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RL_FREE(imageCopy2);
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