Image Representation and Processing : A Recursive Approach
Book Details
Format
Hardback or Cased Book
Book Series
Mathematics and its Applications
ISBN-10
0792321367
ISBN-13
9780792321361
Publisher
Kluwer Academic Publishers
Imprint
Kluwer Academic Publishers
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 30th, 1993
Print length
200 Pages
Product Classification:
Information theoryApplied mathematicsApplied optics
Ksh 15,050.00
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Deals with recursive pyramids, which combine the advantages of available multiresolution structures and which are convenient for both global and local image processing. The major aspects of the book are two mathematical models of greyscale and binary images represented by recursive structures.
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.
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