Digital Compression for Multimedia Engineering

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.