Author: Xinyu ChenPublisher:
ISBN:
Category :
Languages : en
Pages : 278
Book Description
Subband Image Coding Based on Mixture Model and Backward Adaptive Quantization
Author: Xinyu ChenWavelets in Signal and Image Analysis
Author: A.A. PetrosianPublisher: Springer Science & Business Media
ISBN: 9401597154
Category : Science
Languages : en
Pages : 548
Book Description
Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis. Because of their powerful underlying mathematical theory, they offer exciting opportunities for the design of new multi-resolution processing algorithms and effective pattern recognition systems. This book provides a much-needed overview of current trends in the practical application of wavelet theory. It combines cutting edge research in the rapidly developing wavelet theory with ideas from practical signal and image analysis fields. Subjects dealt with include balanced discussions on wavelet theory and its specific application in diverse fields, ranging from data compression to seismic equipment. In addition, the book offers insights into recent advances in emerging topics such as double density DWT, multiscale Bayesian estimation, symmetry and locality in image representation, and image fusion. Audience: This volume will be of interest to graduate students and researchers whose work involves acoustics, speech, signal and image processing, approximations and expansions, Fourier analysis, and medical imaging.
On Efficiency and Robustness of Adaptive Quantization for Subband Coding of Images and Video Sequences
Author: Hong ManPublisher:
ISBN:
Category : Video compression
Languages : en
Pages : 290
Book Description
Subband Image Coding
Author: John W. WoodsPublisher: Springer Science & Business Media
ISBN: 1475721196
Category : Technology & Engineering
Languages : en
Pages : 365
Book Description
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.
Adaptive Subband Image Coding Using Multiple Description Trellis-coded Quantization
Author: Jason T. JenElectrical & Electronics Abstracts
Author: Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 2304
Book Description
Author: 
Author: Yong-han Kim
Author: 
Author: Saad John Bedros