Image Convolution
Input Image
Output Image
Kernel Size:
Update Kernel Size
Preset:
None
Gaussian 3x3
Gaussian 5x5
Sharpen
Ridge Detection
Edge Detection
Box Blur
Laplacian
Emboss
Motion Blur
Sobel X
Sobel Y
Prewitt X
Prewitt Y
High Pass
Low Pass
Outline
Edge Enhancement
Unsharp Mask
Mean Removal
Kirsch X
Kirsch Y
Roberts X
Roberts Y
Gaussian 5×5
Gaussian 7×7
Sharpen 5×5
Box Blur 5×5
Motion Blur 7×7
Edge Detection 5×5
Hyperemboss
Laplacian 5×5
Emboss 5×5
Prewitt X 5×5
Sobel X 5×5
Sobel Y 5×5
High Pass 5x5
Outline 5×5
Emboss Wave 5×5
Diamond Edge 5×5
Random Edge (weight 0) 3x3
Random Blur (wieght 1) 3x3
Random Antiblur (weight -1) 3x3
Random Glow (weight 2) 3x3
Random Edge (weight 0) 5×5
Random Blur (wieght 1) 5×5
Random Antiblur (weight -1) 5×5
Random Glow (weight 2) 5×5
Random Edge (weight 0) 7×7
Random Blur (wieght 1) 7×7
Random Antiblur (weight -1 7×7)
Random Glow (weight 2) 7×7
Identity
Edge Handling:
Warp
Mirror
Crop
White
Black
Average Color
Normalize Value:
Classic Normalize
Auto Normalize Kernel
Generate Convolution
Save Kernel
Load Kernel
Math Function (use x and y):
Fill Kernel
Load Kernel from Image:
Load Kernel
Preview Kernel