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 ...

Get Digital Video Processing, Second Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.