Convolution Kernel: Difference between revisions
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[[Category:Techniques]] | [[Category:Techniques]] | ||
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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. Working with these kernels can create a wide variety of effects, from blurs to sharpens and more. | 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. Working with these kernels can create a wide variety of effects, from blurs to sharpens and more. | ||
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=Effect Types= | =Effect Types= | ||
==Emboss== | |||
[[File:Yasmine emboss.png|200px]] | |||
One of the most well known and instantly recognizable convolution patterns, instantly recognizable from its gray coloring and black outlines. Available as a preset in almost every major editor, including [[Premiere]], [[Vegas]] and [[Kdenlive]]. | |||
==Edge Detection== | ==Edge Detection== | ||
[[File:Yasmine edgedetect.png|200px]] | |||
Another well known filter that emphasizes the "edges" of an image and removes almost everything else. | |||
==Sharpen== | ==Sharpen== | ||
Similar to edge detection, sharpen will emphasize edges - without removing other details. | |||
==Gaussian Blur== | ==Gaussian Blur== | ||