Image Representation and Processing - A Recursive Approach (Hardcover)

Recently, much attention has been paid to image processing with multi-resolution and hierarchical structures such as pyramids and trees. This volume deals with recursive pyramids, which combine the advantages of available multiresolution structures and which are convenient both for global and local image processing. Recursive pyramids are based on regular hierarchical (recursive) structures containing data on image fragments of different sizes. Such an image representation technique enables the effective manipulation of pictorial information as well as the development of special hardware or data structures. The major aspects of this book are two original mathematical models of greyscale and binary images represented by recursive structures. Image compression, transmission and processing are discussed using these models. A number of applications are presented, including optical character recognition, expert systems and special computer architecture for pictorial data processing. The majority of results are presented as algorithms applicable to discrete information fields of arbitrary dimensions (e.g. 2-D or 3-D images). The book is divided into six chapters: Chapter 1 provides a brief introduction. Chapter 2 then deals with recursive structures and their properties. Chapter 3 introduces pyramidal image models. Image coding and the progressive transmission of images with gradual refinement are discussed in Chapter 4. Chapters 5 and 6 are devoted to image processing with pyramidal-recursive structures and applications. The volume concludes with a comprehensive bibliography. This work should interest applied mathematicians and computer scientists whose work involves computer vision, information theory and other aspects of image representation techniques.

General

Imprint:	Kluwer Academic Publishers
Country of origin:	United States
Series:	Mathematics and its Applications, v. 261
Release date:	June 1993
First published:	June 1993
Authors:	V.V. Alexandrov • N.D. Gorsky
Dimensions:	230mm (L)
Format:	Hardcover
Pages:	200
ISBN-13:	978-0-7923-2136-1
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	0-7923-2136-7
Barcode:	9780792321361

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