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Convolution Kernel

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Revision as of 01:50, 14 October 2024 by Admin (talk | contribs) (Unsharp Mask)


hope you know linear algebra!

A Convolution Kernel is when you use specific matrix transformations (known as convolutions) into a image's kernel to create a wide variety of effects.

Edge Detection

Sharpen

Gaussian Blur

A special type of Blur based on the Gaussian function.

Unsharp Mask

An unsharp mask is a type of convolution kernel where the image is masked with a copy that is blurred (or "un-sharpened"). This can make a clearer image that may have less detail.

Unsharp masks have been a very popular choice in tennis in recent years, often being considered "overused" by some.