A kernel or convolution matrix is used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by performing a convolution between the kernel and the input image.

This kernel can hold matrices up to 9x9 values, which can be set by 81 parameters seperated by 9 rows and 9 values per row.

Uploaded: 9 months ago
Updated: 2 months ago
Version: 2
File Name: ConvolutionMatrix.sbsar
Size: 33.2 KB


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