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Section III: Image and Video Processing

By Alan C. Bovik (ed)
From Handbook of Image and Video Processing

Chapters List

Chapter 3.1: Basic Linear Filtering with Application to Image Enhancement
Chapter 3.2: Nonlinear Filtering for Image Analysis and Enhancement
Chapter 3.3: Morphological Filtering for Image Enhancement and Feature Detection
Chapter 3.4: Wavelet Denoising for Image Enhancement
Chapter 3.5: Basic Methods for Image Restoration and Identification
Chapter 3.6: Regularization in Image Restoration and Reconstruction
Chapter 3.7: Multichannel Image Recovery
Chapter 3.8: Multi-Frame Image Restoration
Chapter 3.9: Iterative Image Restoration
Chapter 3.10: Motion Detection and Estimation
Chapter 3.11: Video Enhancement and Restoration
Chapter 3.12: Local and Global Stereo Methods
Chapter 3.13: Image Sequence Stabilization, Mosaicking, and Superresolution
Alan C. Bovik,
The University of Texas at Austin
Scott T. Acton,
University of Virginia

1 Introduction

Linear system theory and linear filtering play central roles in digital image and video processing. Many potent techniques for modifying, improving, or representing digital visual data are expressed in terms of linear systems concepts. Linear filters are used for generic tasks such as image/video contrast improvement, denoising, and sharpening, as well as for more object- or feature-specific tasks such as target matching and feature enhancement.

Much of this Handbook deals with the application of linear filters to image and video enhancement, restoration, reconstruction, detection, segmentation, compression, and transmission. The goal of this chapter is to introduce some of the basic supporting ideas of linear systems theory as they apply to digital image filtering, and to outline some of the applications. Special emphasis is given to the topic of linear image enhancement.

We will require some...

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Products & Services
Image Processors
Image processors includes the hardware and/or software that translates data into dots or pixels in a printer or image setter.
Image Analysis Software
Image analysis software is used to enhance, identify or quantify features in an image by breaking down or applying digital image filters.
Digital Video Recorders
Digital video recorders record and store video camera output in digital form on disk.
Telecentric Lenses
Telecentric lenses are used to provide images independent of an object’s distance, or to prevent wide ranges of angles of incidence. There are three basic types of telecentric lenses: object-space, image-space, and double telecentric.
Video Cameras
Video cameras record live-action scenes that are available for viewing via a stored or transmitted video feed. This allows the user to create a permanent and detailed chronicle of events. Video cameras record dozens of pictures (or frames) a second that when viewed in succession, clearly distinguish the translation of an object or person over time.
Topics of Interest

Chapters List Chapter 4.1: Computational Models of Early Human Vision Chapter 4.2: Multiscale Image Decompositions and Wavelets Chapter 4.3: Random Field Models Chapter 4.4: AM-FM Image...

Multiscale Edge Detection and Image Denoising Overview Wavelets, the "little waves" of signal processing, came to the fore in the early 1990s as an attractive alternative to classical Fourier...

Chapter List Chapter 9: Morphological Image Processing Chapter 10: Image Segmentation Chapter 11: Feature Recognition and Classification Chapter 12: Three-Dimensional Visualization...

4.5 Non-Linear Filtering of Images Linear filters have the property that their output is a linear combination of their input. Filters that do not satisfy this property are non-linear. Nonlinear...

Objectives: In today's modern computers, media information such as audio, images, and video have come to be necessary for daily business operations and entertainment. In this chapter, we will study...