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-rw-r--r--examples/Makefile1
-rw-r--r--examples/textures/textures_image_kernel.c127
-rw-r--r--projects/Notepad++/raylib_npp_parser/raylib_to_parse.h1
-rw-r--r--src/raylib.h1
-rw-r--r--src/rtextures.c142
5 files changed, 272 insertions, 0 deletions
diff --git a/examples/Makefile b/examples/Makefile
index 5cd8e6bb..11669e3a 100644
--- a/examples/Makefile
+++ b/examples/Makefile
@@ -490,6 +490,7 @@ TEXTURES = \
textures/textures_gif_player \
textures/textures_image_drawing \
textures/textures_image_generation \
+ textures/textures_image_kernel \
textures/textures_image_loading \
textures/textures_image_processing \
textures/textures_image_rotate \
diff --git a/examples/textures/textures_image_kernel.c b/examples/textures/textures_image_kernel.c
new file mode 100644
index 00000000..cbc75e18
--- /dev/null
+++ b/examples/textures/textures_image_kernel.c
@@ -0,0 +1,127 @@
+/*******************************************************************************************
+*
+* raylib [textures] example - Image loading and texture creation
+*
+* NOTE: Images are loaded in CPU memory (RAM); textures are loaded in GPU memory (VRAM)
+*
+* Example originally created with raylib 1.3, last time updated with raylib 1.3
+*
+* Example licensed under an unmodified zlib/libpng license, which is an OSI-certified,
+* BSD-like license that allows static linking with closed source software
+*
+* Copyright (c) 2015-2023 Karim Salem (@kimo-s)
+*
+********************************************************************************************/
+
+#include "raylib.h"
+
+//------------------------------------------------------------------------------------
+// Program main entry point
+//------------------------------------------------------------------------------------
+void normalizeKernel(float *kernel, int size){
+ float sum = 0.0f;
+ for(int i = 0; i < size; i++)
+ {
+ sum += kernel[i];
+ }
+
+ if(sum != 0.0f)
+ {
+ for(int i = 0; i < size; i++)
+ {
+ kernel[i] /= sum;
+ }
+ }
+}
+
+int main(void)
+{
+ // Initialization
+ //--------------------------------------------------------------------------------------
+
+ Image image = LoadImage("resources/cat.png"); // Loaded in CPU memory (RAM)
+
+ const int screenWidth = 800;
+ const int screenHeight = 450;
+
+ InitWindow(screenWidth, screenHeight, "raylib [textures] example - image convolution");
+
+ float gaussiankernel[] = {1.0, 2.0, 1.0,
+ 2.0, 4.0, 2.0,
+ 1.0, 2.0, 1.0};
+
+ float sobelkernel[] = {1.0, 0.0, -1.0,
+ 2.0, 0.0, -2.0,
+ 1.0, 0.0, -1.0};
+
+ float sharpenkernel[] = {0.0, -1.0, 0.0,
+ -1.0, 5.0, -1.0,
+ 0.0, -1.0, 0.0};
+
+ normalizeKernel(gaussiankernel, 9);
+ normalizeKernel(sharpenkernel, 9);
+ normalizeKernel(sobelkernel, 9);
+
+ Image catSharpend = ImageCopy(image);
+ ImageKernelConvolution(&catSharpend, sharpenkernel, 9);
+
+ Image catSobel = ImageCopy(image);
+ ImageKernelConvolution(&catSobel, sobelkernel, 9);
+
+ Image catGaussian = ImageCopy(image);
+ for(int i = 0; i < 6; i++)
+ {
+ ImageKernelConvolution(&catGaussian, gaussiankernel, 9);
+ }
+
+ ImageCrop(&image, (Rectangle){ 0, 0, (float)200, (float)450 });
+ ImageCrop(&catGaussian, (Rectangle){ 0, 0, (float)200, (float)450 });
+ ImageCrop(&catSobel, (Rectangle){ 0, 0, (float)200, (float)450 });
+ ImageCrop(&catSharpend, (Rectangle){ 0, 0, (float)200, (float)450 });
+ Texture2D texture = LoadTextureFromImage(image); // Image converted to texture, GPU memory (VRAM)
+ Texture2D catSharpendTexture = LoadTextureFromImage(catSharpend);
+ Texture2D catSobelTexture = LoadTextureFromImage(catSobel);
+ Texture2D catGaussianTexture = LoadTextureFromImage(catGaussian);
+ UnloadImage(image); // Once image has been converted to texture and uploaded to VRAM, it can be unloaded from RAM
+ UnloadImage(catGaussian);
+ UnloadImage(catSobel);
+ UnloadImage(catSharpend);
+
+ SetTargetFPS(60); // Set our game to run at 60 frames-per-second
+ //---------------------------------------------------------------------------------------
+
+ // Main game loop
+ while (!WindowShouldClose()) // Detect window close button or ESC key
+ {
+ // Update
+ //----------------------------------------------------------------------------------
+ // TODO: Update your variables here
+ //----------------------------------------------------------------------------------
+
+ // Draw
+ //----------------------------------------------------------------------------------
+ BeginDrawing();
+
+ ClearBackground(RAYWHITE);
+
+ DrawTexture(catSharpendTexture, 0, 0, WHITE);
+ DrawTexture(catSobelTexture, 200, 0, WHITE);
+ DrawTexture(catGaussianTexture, 400, 0, WHITE);
+ DrawTexture(texture, 600, 0, WHITE);
+
+ EndDrawing();
+ //----------------------------------------------------------------------------------
+ }
+
+ // De-Initialization
+ //--------------------------------------------------------------------------------------
+ UnloadTexture(texture); // Texture unloading
+ UnloadTexture(catGaussianTexture);
+ UnloadTexture(catSobelTexture);
+ UnloadTexture(catSharpendTexture);
+
+ CloseWindow(); // Close window and OpenGL context
+ //--------------------------------------------------------------------------------------
+
+ return 0;
+}
diff --git a/projects/Notepad++/raylib_npp_parser/raylib_to_parse.h b/projects/Notepad++/raylib_npp_parser/raylib_to_parse.h
index 2c033c91..8776d434 100644
--- a/projects/Notepad++/raylib_npp_parser/raylib_to_parse.h
+++ b/projects/Notepad++/raylib_npp_parser/raylib_to_parse.h
@@ -375,6 +375,7 @@ 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/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
generated by cgit v1.2.3 (git 2.39.1) at 2026-04-14 21:53:48 +0000