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Digital Video Processing, Second Edition by A. Murat Tekalp

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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 bilateral 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 chapter ...

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