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Digital Compression for Multimedia Engineering: Image Compression to Advanced Video Coding - Tapa blanda
Sinopsis
This book is concerned with the image compression methods to advanced video coding algorithms & thus yields an exclusive, self-contained reference for practitioners to build a basis for future study, research, & development. It introduces image compression methods in the case of binary, gray scale, color palette, true color & video images. It works up from basic principles to the advanced video compression systems including MPEG 1, 2, 4 & 7, JPEG, H.261, H.263 & H.264/MPEG-4 AVC. Topics include fractal-based compression, statistical modeling, context modeling, Huffman coding, arithmetic coding, Colomb coding, transform-based modeling, run-length modeling, predictive modeling, progressive image decompression, vector quantization. Existing & forthcoming standards such as JBIG1, JBIG2, JPEG, JPEG-LS & JPEG-2000 are covered. For each algorithm, issues such as quality vs. bit rate vs. MSE and BPP, susceptibility to channel errors & implementation complexities are considered. It contains a lots of reconstructed & error images illustrating the outcome of each compression technique on a consistent image set, thus allowing for a direct assessment of bit rates & reconstructed image quality.
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Reseña del editor
This book is concerned with the image compression methods to advanced video coding algorithms & thus yields an exclusive, self-contained reference for practitioners to build a basis for future study, research, & development. It introduces image compression methods in the case of binary, gray scale, color palette, true color & video images. It works up from basic principles to the advanced video compression systems including MPEG 1, 2, 4 & 7, JPEG, H.261, H.263 & H.264/MPEG-4 AVC. Topics include fractal-based compression, statistical modeling, context modeling, Huffman coding, arithmetic coding, Colomb coding, transform-based modeling, run-length modeling, predictive modeling, progressive image decompression, vector quantization. Existing & forthcoming standards such as JBIG1, JBIG2, JPEG, JPEG-LS & JPEG-2000 are covered. For each algorithm, issues such as quality vs. bit rate vs. MSE and BPP, susceptibility to channel errors & implementation complexities are considered. It contains a lots of reconstructed & error images illustrating the outcome of each compression technique on a consistent image set, thus allowing for a direct assessment of bit rates & reconstructed image quality.
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- EditorialScholars' Press
- Año de publicación2015
- ISBN 10 3639700538
- ISBN 13 9783639700534
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas328
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Digital Compression for Multimedia Engineering
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rashid Syed ZahidurHis long term research interest is in lossless data compression, both theoretically and in specific applications, such as lossless image compression, video codecs, wavelets, compressed sensing, remote sensing, erro. Nº de ref. del artículo: 21508928
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Digital Compression for Multimedia Engineering
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is concerned with the image compression methods to advanced video coding algorithms & thus yields an exclusive, self-contained reference for practitioners to build a basis for future study, research, & development. It introduces image compression methods in the case of binary, gray scale, color palette, true color & video images. It works up from basic principles to the advanced video compression systems including MPEG 1, 2, 4 & 7, JPEG, H.261, H.263 & H.264/MPEG-4 AVC. Topics include fractal-based compression, statistical modeling, context modeling, Huffman coding, arithmetic coding, Colomb coding, transform-based modeling, run-length modeling, predictive modeling, progressive image decompression, vector quantization. Existing & forthcoming standards such as JBIG1, JBIG2, JPEG, JPEG-LS & JPEG-2000 are covered. For each algorithm, issues such as quality vs. bit rate vs. MSE and BPP, susceptibility to channel errors & implementation complexities are considered. It contains a lots of reconstructed & error images illustrating the outcome of each compression technique on a consistent image set, thus allowing for a direct assessment of bit rates & reconstructed image quality. 328 pp. Englisch. Nº de ref. del artículo: 9783639700534
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Digital Compression for Multimedia Engineering : Image Compression to Advanced Video Coding
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is concerned with the image compression methods to advanced video coding algorithms & thus yields an exclusive, self-contained reference for practitioners to build a basis for future study, research, & development. It introduces image compression methods in the case of binary, gray scale, color palette, true color & video images. It works up from basic principles to the advanced video compression systems including MPEG 1, 2, 4 & 7, JPEG, H.261, H.263 & H.264/MPEG-4 AVC. Topics include fractal-based compression, statistical modeling, context modeling, Huffman coding, arithmetic coding, Colomb coding, transform-based modeling, run-length modeling, predictive modeling, progressive image decompression, vector quantization. Existing & forthcoming standards such as JBIG1, JBIG2, JPEG, JPEG-LS & JPEG-2000 are covered. For each algorithm, issues such as quality vs. bit rate vs. MSE and BPP, susceptibility to channel errors & implementation complexities are considered. It contains a lots of reconstructed & error images illustrating the outcome of each compression technique on a consistent image set, thus allowing for a direct assessment of bit rates & reconstructed image quality. Nº de ref. del artículo: 9783639700534
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Digital Compression for Multimedia Engineering
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -This book is concerned with the image compression methods to advanced video coding algorithms & thus yields an exclusive, self-contained reference for practitioners to build a basis for future study, research, & development. It introduces image compression methods in the case of binary, gray scale, color palette, true color & video images. It works up from basic principles to the advanced video compression systems including MPEG 1, 2, 4 & 7, JPEG, H.261, H.263 & H.264/MPEG-4 AVC. Topics include fractal-based compression, statistical modeling, context modeling, Huffman coding, arithmetic coding, Colomb coding, transform-based modeling, run-length modeling, predictive modeling, progressive image decompression, vector quantization. Existing & forthcoming standards such as JBIG1, JBIG2, JPEG, JPEG-LS & JPEG-2000 are covered. For each algorithm, issues such as quality vs. bit rate vs. MSE and BPP, susceptibility to channel errors & implementation complexities are considered. It contains a lots of reconstructed & error images illustrating the outcome of each compression technique on a consistent image set, thus allowing for a direct assessment of bit rates & reconstructed image quality.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 328 pp. Englisch. Nº de ref. del artículo: 9783639700534
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Digital Compression for Multimedia Engineering
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Scholars* Press, 2015
ISBN 10: 3639700538
ISBN 13: 9783639700534
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paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA82336397005386
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