Subband Image Coding
This book concerns a new method of image data compression which weil may supplant the well-established block-transfonn methods that have been state-of-the art for the last 15 years. Subband image coding or SBC was first perfonned 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 tele vision, 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 tenned subband pyramid, is taken for the decomposition resulting in a total of just eleven subbands.
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Multirate Filter Banks for Subband Coding
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achieved addition aliasing analysis applied approach assume band basis bit rate block called channel chapter coder coefficients color complexity components compression computational considered corresponding decimated decomposition defined described discussed distortion domain DPCM efficient encoding entropy equal error example extension factor filter bank frame frequency function Gaussian given HDTV hexagonal IEEE Trans implementation input length levels lowpass matrix means measure method modulation motion Note obtained optimal original output perfect reconstruction performance picture pixel polyphase possible prediction present probability Proc procedure pyramid quantization reconstruction representation represented resolution respectively response sampling scheme separable sequence shown in Figure Signal Process spatial Speech splitting structure subband coding subsampling synthesis filters Table techniques theory transform values vector zero