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authorKarim <[email protected]>2023-11-18 14:05:45 -0500
committerGitHub <[email protected]>2023-11-18 20:05:45 +0100
commit21469e92b0a886de8b384b7ffadc5c1c73cff913 (patch)
tree711cb5f9f103a53cb712ce3460a4698d159d1824 /src
parente41a0c9721a38c81a1499ae499b746bd05f9de2e (diff)
downloadraylib-21469e92b0a886de8b384b7ffadc5c1c73cff913.tar.gz
raylib-21469e92b0a886de8b384b7ffadc5c1c73cff913.zip
Image convolution function ImageKernelConvolution (#3528)
* Added image convultion ImageKernelConvolution * comment changes * spelling changes and change to kernel size * removed kernel normalization inside function * fix to formating
Diffstat (limited to 'src')
-rw-r--r--src/raylib.h1
-rw-r--r--src/rtextures.c142
2 files changed, 143 insertions, 0 deletions
diff --git a/src/raylib.h b/src/raylib.h
index 6ea00300..28f052c7 100644
--- a/src/raylib.h
+++ b/src/raylib.h
@@ -1329,6 +1329,7 @@ RLAPI void ImageAlphaClear(Image *image, Color color, float threshold);
RLAPI void ImageAlphaMask(Image *image, Image alphaMask); // Apply alpha mask to image
RLAPI void ImageAlphaPremultiply(Image *image); // Premultiply alpha channel
RLAPI void ImageBlurGaussian(Image *image, int blurSize); // Apply Gaussian blur using a box blur approximation
+RLAPI void ImageKernelConvolution(Image *image, float* kernel, int kernelSize); // Apply Custom Square image convolution kernel
RLAPI void ImageResize(Image *image, int newWidth, int newHeight); // Resize image (Bicubic scaling algorithm)
RLAPI void ImageResizeNN(Image *image, int newWidth,int newHeight); // Resize image (Nearest-Neighbor scaling algorithm)
RLAPI void ImageResizeCanvas(Image *image, int newWidth, int newHeight, int offsetX, int offsetY, Color fill); // Resize canvas and fill with color
diff --git a/src/rtextures.c b/src/rtextures.c
index 98586db7..8742b0c9 100644
--- a/src/rtextures.c
+++ b/src/rtextures.c
@@ -2082,6 +2082,148 @@ void ImageBlurGaussian(Image *image, int blurSize) {
ImageFormat(image, format);
}
+// The kernel matrix is assumed to be square. Only supply the width of the kernel.
+void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
+
+ if ((image->data == NULL) || (image->width == 0) || (image->height == 0) || kernel == NULL) return;
+
+ int kernelWidth = (int)sqrtf((float)kernelSize);
+ if (kernelWidth*kernelWidth != kernelSize)
+ {
+ TRACELOG(LOG_WARNING, "IMAGE: Convolution kernel must be square to be applied");
+ return;
+ }
+
+ Color *pixels = LoadImageColors(*image);
+
+ Vector4 *imageCopy2 = RL_MALLOC((image->height)*(image->width)*sizeof(Vector4));
+ Vector4 *temp = RL_MALLOC(kernelSize*sizeof(Vector4));
+
+
+ for(int i = 0; i < kernelSize; i++){
+ temp[i].x = 0.0f;
+ temp[i].y = 0.0f;
+ temp[i].z = 0.0f;
+ temp[i].w = 0.0f;
+ }
+
+ float rRes = 0.0f;
+ float gRes = 0.0f;
+ float bRes = 0.0f;
+ float aRes = 0.0f;
+
+
+ int startRange, endRange;
+ if(kernelWidth % 2 == 0)
+ {
+ startRange = -kernelWidth/2;
+ endRange = kernelWidth/2;
+ } else
+ {
+ startRange = -kernelWidth/2;
+ endRange = kernelWidth/2+1;
+ }
+ for(int x = 0; x < image->height; x++)
+ {
+ for(int y = 0; y < image->width; y++)
+ {
+
+ for(int xk = startRange; xk < endRange; xk++)
+ {
+ for(int yk = startRange; yk < endRange; yk++)
+ {
+ int xkabs = xk + kernelWidth/2;
+ int ykabs = yk + kernelWidth/2;
+ size_t imgindex = image->width * (x+xk) + (y+yk);
+ if(imgindex < 0 || imgindex >= image->width * image->height){
+ temp[kernelWidth * xkabs + ykabs].x = 0.0f;
+ temp[kernelWidth * xkabs + ykabs].y = 0.0f;
+ temp[kernelWidth * xkabs + ykabs].z = 0.0f;
+ temp[kernelWidth * xkabs + ykabs].w = 0.0f;
+ } else {
+ temp[kernelWidth * xkabs + ykabs].x = ((float)pixels[imgindex].r)/255.0f * kernel[kernelWidth * xkabs + ykabs];
+ temp[kernelWidth * xkabs + ykabs].y = ((float)pixels[imgindex].g)/255.0f * kernel[kernelWidth * xkabs + ykabs];
+ temp[kernelWidth * xkabs + ykabs].z = ((float)pixels[imgindex].b)/255.0f * kernel[kernelWidth * xkabs + ykabs];
+ temp[kernelWidth * xkabs + ykabs].w = ((float)pixels[imgindex].a)/255.0f * kernel[kernelWidth * xkabs + ykabs];
+ }
+ }
+ }
+
+ for(int i = 0; i < kernelSize; i++)
+ {
+ rRes += temp[i].x;
+ gRes += temp[i].y;
+ bRes += temp[i].z;
+ aRes += temp[i].w;
+ }
+
+ if(rRes < 0.0f)
+ {
+ rRes = 0.0f;
+ }
+ if(gRes < 0.0f)
+ {
+ gRes = 0.0f;
+ }
+ if(bRes < 0.0f)
+ {
+ bRes = 0.0f;
+ }
+
+ if(rRes > 1.0f)
+ {
+ rRes = 1.0f;
+ }
+ if(gRes > 1.0f)
+ {
+ gRes = 1.0f;
+ }
+ if(bRes > 1.0f)
+ {
+ bRes = 1.0f;
+ }
+
+ imageCopy2[image->width * (x) + (y)].x = rRes;
+ imageCopy2[image->width * (x) + (y)].y = gRes;
+ imageCopy2[image->width * (x) + (y)].z = bRes;
+ imageCopy2[image->width * (x) + (y)].w = aRes;
+
+ rRes = 0.0f;
+ gRes = 0.0f;
+ bRes = 0.0f;
+ aRes = 0.0f;
+
+ for(int i = 0; i < kernelSize; i++)
+ {
+ temp[i].x = 0.0f;
+ temp[i].y = 0.0f;
+ temp[i].z = 0.0f;
+ temp[i].w = 0.0f;
+ }
+ }
+ }
+
+ for (int i = 0; i < (image->width) * (image->height); i++)
+ {
+ float alpha = (float)imageCopy2[i].w;
+ pixels[i].r = (unsigned char)((imageCopy2[i].x)*255.0f);
+ pixels[i].g = (unsigned char)((imageCopy2[i].y)*255.0f);
+ pixels[i].b = (unsigned char)((imageCopy2[i].z)*255.0f);
+ pixels[i].a = (unsigned char)((alpha)*255.0f);
+ // printf("pixels[%d] = %d", i, pixels[i].r);
+ }
+
+
+ int format = image->format;
+ RL_FREE(image->data);
+ RL_FREE(imageCopy2);
+ RL_FREE(temp);
+
+ image->data = pixels;
+ image->format = PIXELFORMAT_UNCOMPRESSED_R8G8B8A8;
+ ImageFormat(image, format);
+}
+
// Generate all mipmap levels for a provided image
// NOTE 1: Supports POT and NPOT images
// NOTE 2: image.data is scaled to include mipmap levels