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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Full title: Digital Compression for Multimedia Engineering
• Subtitle: Image Compression to Advanced Video Coding
• Author: Rashid Syed Zahidur
• Language: English
• Binding: Paperback
• Number of pages: 328
• EAN: 9783639700534
• ISBN: 3639700538
• ID: 09270160
• Publisher: Scholars' Press
• Weight: 481 g
• Dimensions: 229 × 152 × 19 mm
• Date of publishing: 10. March 2015

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