Convolution Kernel: Difference between revisions
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Created page with "Category:Techniques 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== Very popular in recent years." |
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==Unsharp Mask== | ==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. | |||
Revision as of 01:50, 14 October 2024
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.