Chapter 3. Image Filtering
An in-depth understanding of image-processing methods is essential for a rigorous study of digital-video processing. This chapter introduces essential image-filtering operations, such as Gaussian and bi-lateral filtering, gradient estimation, and image interpolation, that are required for motion estimation, as well as foundations of some ill-posed problems such as denoising, restoration, and super-resolution.
Image filtering refers to processing of an input image to produce either a better-looking output image by contrast/sharpness and/or signal-to-noise ratio enhancement, or to compute some low-level image features such as edges, corners, or spatial-gradient values that may be used in subsequent image processing. This ...
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