Syed Zahidur Rashid

Digital Compression for Multimedia Engineering

Image Compression to Advanced Video Coding

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Scholar's Press
• Seitenzahl: 328
• Erscheinungstermin: 2. April 2015
• Englisch
• Abmessung: 220mm x 150mm x 21mm
• Gewicht: 451g
• ISBN-13: 9783639700534
• ISBN-10: 3639700538
• Artikelnr.: 42568189

Autorenporträt

His research interests are in the fields of biomedical imaging, digital watermarking, pattern recognition, and solving problems arising in visual perception and action recognition, which are key components in many vision applications such as surveillance, robot guidance, multi-modal image interpretation, remote sensing, and visual field monitoring.