How to Use Convolution Kernels for Increased Accuracy


show more Using Convolution Kernels for more accuracy provides you with in-depth training on Photography. Taught by Deke McClelland as part of the Photoshop CS3 Sharpening Images show less
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Using Convolution Kernels for more accuracy

Once again for those you who are fans of sharpening theory, I've got another theory exercise here for you. I was telling you at the end of the previous exercise how the More Accurate checkbox is based on the notion of a Convolution Kernel. A Convolution Kernel allows you to compare neighboring pixels to each other and exaggerate their differences or downplay their differences as well if you want it to. It's a primitive sharpening effect. It does a great job of bringing out noise inside of a digital photograph, which is one of the reasons you don't really want to work this way, but it also does a great job of sharpening the minutia in the image, which is what the More Accurate checkbox does.

So I am to going to show you a Convolution Kernel. I am not suggesting this is the way you work once again, just a little bit of theory I am going to show you a Convolution Kernel and then we'll see how it compares to the better More Accurate checkbox. I am working inside the test shapes.PSD ...

Using Convolution Kernels for more accuracy
Video duration: 7m 8s 10h 36m Intermediate

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Using Convolution Kernels for more accuracy provides you with in-depth training on Photography. Taught by Deke McClelland as part of the Photoshop CS3 Sharpening Images

Subject:
Photography
Software:
Photoshop
Author:
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