This lecture focused on area processes for digital image processing.
Blurring, sharpening and edge detection can be used to improve the quality of an image. They fall under the category of area processes, i.e. the value of the pixel in the new image is determined by its neighbors. Area processes can be easily described by convolutions of the original image with a matrix known as the filter kernel. Sharpening and blurring can be also thought of as applying a high- or low-pass filter to an image. The following are several links on area processes:
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