Springer, 1991. — 365 p.This book concerns a new method of image data compression which weil may supplant the well-established block-transform methods that have been state-of-the-art for the last 15 years. Subband image coding or SBC was first performed as such in 1985, and as the results became known at first through conference proceedings, and later through journal papers, the research community became excited about both the theoretical and practical aspects of this new approach. This excitement is continuing today, with many major research laboratories and research universities around the world investigating the subband approach to coding of color images, high resolution images, video, including video conferencing and advanced television, and the medical application of picture archiving systems. Much of the fruits of this work is summarized in the eight chapters of this book which were written by leading practitioners in this field. The subband approach to image coding starts by passing the image through a two- or three-dimensional filter bank. The two-dimensional (2-D) case usually is hierarchical' consisting of two stages of four filters each. Thus the original image is split into 16 subband images, with each one decimated or subsampled by 4x4, resulting in a data conservation. The individual channel data is then quantized ·for digital transmission. In an attractive variation an octave-like approach, herein termed subband pyramid, is taken for the decomposition resulting in a total of just eleven subbands. What is remarkable about these new approaches is that the coding efficiency of such a small number of subbands surpasses that of the 16x16 discrete cosine transform (DCT) which has 256 coefficients or channels. Also the more regular and local structure of these shift-invariant filters offers some implementation advantages over the block structure of the DCT.Performance Bounds for Subband Coding Multirate Filter Banks for Subband Coding UR Analysis/Synthesis Systems Sub band Transforms Subband Coding of Color Images Subband Coding of Video Signals Advanced Television Coding Using Exact Reconstruction Filter Banks Medical Image Compression: Possible Applications of Subband Coding
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