Digital image compression techniques

In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression techniques and presents a number of different schemes that have proven u...

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Bibliographic Details
Main Author: Rabbani, Majid, 1955-
Other Authors: Jones, Paul W., 1958-
Format: eBook
Language: English
Published: Bellingham, Wash., USA : Spie Optical Engineering Press, ©1991.
Series: Tutorial texts in optical engineering ; v. TT 7.
Subjects:
ISBN: 9781615837373
161583737X
9780819478528
0819478520
0819406481
9780819406484
Physical Description: 1 online resource (xv, 221 pages) : illustrations

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Summary: In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression techniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstructed image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.
Bibliography: Includes bibliographical references (pages 210-215).
ISBN: 9781615837373
161583737X
9780819478528
0819478520
0819406481
9780819406484
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty