Image and Text Compression
By: edited by James A. Storer
Series: The Kluwer International Series in Engineering and Computer Science, Communication and Information Theory -- 176; Kluwer International Series in Engineering and Computer Science, Communication and Information Theory -- 176.
Publisher: Springer US
Published: 1992
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 354
ISBN-13: 9781461365983; 9781461535966
Subjects: Computer engineering; Computer communication networks; Engineering; Computer science
Description: This book presents exciting recent research on the compression of images and text. Part 1 presents the (lossy) image compression techniques of vector quantization, iterated transforms (fractal compression), and techniques that employ optical hardware. Part 2 presents the (lossless) text compression techniques of arithmetic coding, context modeling, and dictionary methods (LZ methods); this part of the book also addresses practical massively parallel architectures for text compression. Part 3 presents theoretical work in coding theory that has applications to both text and image compression. The book ends with an extensive bibliography of data compression papers and books which can serve as a valuable aid to researchers in the field. Points of Interest: Data compression is becoming a key factor in the digital storage of text, speech graphics, images, and video, digital communications, data bases, and supercomputing. The book addresses `hot' data compression topics such as vector quantization, fractal compression, optical data compression hardware, massively parallel hardware, LZ methods, arithmetic coding. Contributors are all accomplished researchers. Extensive bibliography to aid researchers in the field.
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