In image processing, a kernel, convolution matrix, or mask is a small matrix. It is used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between a kernel and an image. In this article, here are some conventions that we are following — We are specifically referring to 2D convolutions that are usually applied on 2 matrix objects such as images. These concepts also apply for 1D and 3D convolutions, but may not correlate directly. While applying 2D convolutions like 3X3 convolutions on images, a 3X3 convolution filter, in general will always have a
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