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  • 1
    Online Resource
    Online Resource
    Bellingham, Wash. (1000 20th St. Bellingham WA 98225-6705 USA) :SPIE,
    UID:
    almahu_9947418293102882
    Format: 1 online resource (xv, 221 p. : ill.) : , digital file.
    ISBN: 9780819478528 (electronic)
    Series Statement: Tutorial texts in optical engineering ; v. TT 7
    Content: 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 tecniques 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 reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.
    Note: "SPIE digital library." , I. Background -- Digital images and image compression -- II. Information theory concepts -- Source models and entropy -- Variable-length codes -- Entropy estimation and lossless compression -- Rate-distortion theory and lossy compression -- III. Lossless compression techniques -- Introduction -- Bit plane encoding -- Lossy plus lossless residual encoding -- IV. Lossy compression techniques -- Introduction -- Lossy predictive coding -- Transform coding -- Block truncation coding -- Vector quantization -- Subband coding -- Hierarchical coding -- Choosing a lossy compression technique -- Appendix Compression of color images. , Also available in print version. , System requirements: Adobe Acrobat Reader. , Mode of access: World Wide Web.
    Additional Edition: ISBN 0819406481
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Bellingham, Wash. : SPIE Optical Engineering Press
    UID:
    gbv_019408579
    Format: XV, 221 S , Ill
    Edition: 7. print
    ISBN: 0819406481
    Series Statement: Tutorial texts in optical engineering 7
    Note: Includes bibliographical references
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    Bellingham, Wash. : SPIE Optical Engineering Press
    UID:
    gbv_1607198088
    Format: 221 S. , Ill.
    Edition: 2. print.
    ISBN: 0819406481
    Series Statement: Tutorial texts in optical engineering 7
    Language: English
    Subjects: Computer Science , Engineering
    RVK:
    RVK:
    RVK:
    Keywords: Bildverarbeitung ; Datenkompression ; Bildverarbeitung
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Book
    Book
    Bellingham, Wash. : SPIE Optical Engineering Press
    UID:
    b3kat_BV006622413
    Format: XV, 221 S. , Ill., graph. Darst.
    ISBN: 0819406481
    Series Statement: Tutorial texts in optical engineering 7
    Content: 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.
    Note: Literaturangaben
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Datenkompression ; Bildverarbeitung
    Library Location Call Number Volume/Issue/Year Availability
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