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International Conference on Neural Networks and Signal Processing

作者： Shen, LY Hu, B Wang, QZ Fudan Univ EE Dept Digital Signal Proc & Transmiss Lab Shanghai 200433 Peoples R China

ISBN: (纸本)0780377028

In this paper, a residual image coding scheme for stereo image compression is presented. With standard block matching method, the residual image is obtained first. For each residual block, an initial vector space, which contains the blocks alongside its matched block and a subset of edge blocks, is constructed. Then, a set of orthogonal basis vectors is selected one by one so that the residual block can be represented by a linear combination of them. Experimental results show that comparing with the widely used DCT based scheme, the proposed method significantly reduce the number of coefficients.

关键词： image coding data compression discrete cosine transforms transform coding stereo image processing residual image coding stereo image compression standard block matching method vector space DCT discrete cosine transforms

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Characteristics of disparity-compensated stereo image pair residuals

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SIGNAL PROCESSING-image COMMUNICATION 1998年第1-2期14卷 55-69页

作者： Moellenhoff, MS Maier, MW Raytheon Missile Syst Co Image Proc Dept Tucson AZ 85734 USA Univ Alabama ECE Dept Huntsville AL 35899 USA

An emerging feature of multimedia and tele-presence systems is stereo imagery. Stereo images provide an enhanced sense of presence, and have been found to be operationally useful in tasks requiring remote manipulation or judgment of spatial relationships. A conventional stereo system with a single left-right pair needs twice the raw data as a monoscopic imaging system. A multi-view stereo system may require hundreds of times as much. As a result there has been increasing attention given to image compression methods specialized to stereo pairs. Most of this work has focused on disparity-compensated residual coding where one view is used to predict another, and the difference is coded. Much of this work has concentrated on improving the disparity compensation process and codes the residual image similarly to a monoscopic image. As this paper will show, the disparity-compensated residual image differs in important ways from a conventional monoscopic image. The residual image has different correlation characteristics, and is composed primarily of strong vertical-direction edge components surrounded by large areas of near zero intensity. This paper demonstrates these properties, both theoretically and experimentally, and outlines how they might be exploited in designing compression algorithms. Other papers demonstrate that greater than 2 dB improvement is possible when exploiting such characteristics for stereo image compression. (C) 1998 Published by Elsevier Science B.V. All rights reserved.

关键词： stereo image compression residual image coding disparity-compensated residual image characterization DCT and wavelet residual coding directional structure

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Transform coding of stereo image residuals

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IEEE TRANSACTIONS ON image PROCESSING 1998年第6期7卷 804-812页

作者： Moellenhoff, MS Maier, MW Raytheon Syst Co Imaging Proc Dept Tucson AZ 85734 USA Univ Alabama Dept Elect & Comp Engn Huntsville AL 35899 USA

Stereo image compression is of growing interest because of new display technologies and the needs of telepresence systems, Compared to monoscopic image compression, stereo image compression has received much less attention. A variety of algorithms have appeared in the literature that make use of the cross-view redundancy in the stereo pair. Many of these use the framework of disparity-compensated residual coding, but concentrate on the disparity compensation process rather than the post compensation coding process. This paper studies specialized coding methods for the residual image produced by disparity compensation. The algorithms make use of theoretically expected and experimentally observed characteristics of the disparity-compensated stereo residual to select transforms and quantization methods. Performance is evaluated on mean squared error (MSE) and a stereo-unique metric based on image registration. Exploiting the directional characteristics in a discrete cosine transform (DCT) framework provides its best performance below 0.75 b/pixel for 8-b gray-scale imagery and below 2 b/pixel for 23-b color imagery, Ln the wavelet algorithm, roughly a 50% reduction in bit rate is possible by encoding only the vertical channel, where much of the stereo information is contained. The proposed algorithms do not incur substantial computational burden beyond that needed for any disparity-compensated residual algorithm.

关键词： directional structure disparity-compensated residual image coding residual image coding stereo image compression

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DCT transform coding of stereo images for multimedia applications

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1998年第1期45卷 38-43页

作者： Moellenhoff, MS Maier, MW Hughes Missile Syst Co Tucson AZ 85734 USA Univ Alabama Dept Elect & Comp Engn Huntsville AL 35899 USA

One form of multimedia finding increasing utility in factory automation Is stereo imaging, Its uses include remote operation, telepresence, and object positioning, Stereo imaging, with doubled frames, requires high data-rate collection and transmission, image compression techniques can be utilized to reduce the transmission bandwidth and/or storage space requirements of the stereo pair, This paper develops image compression techniques specific to stereo imaging and compares performance with nonstereo methods. Disparity compensated residual image coding exploits the redundancy between the tno images in a stereo pair, Stereo residuals possess special features that can be exploited within a discrete cosine transform (DCT) image coding framework. Use of these features results in several decibels of performance enhancement across a range of scene types. This approach provides its best performance below 0.75 b/pixel bitrate for 8-b grayscale imagery and below 2 b/pixel for 24-b color imagery.

关键词： DCT and Wavelet residual coding directional structure disparity compensation residual characterization residual image coding stereo image compression

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A novel stereo image coding algorithm based on delaunay triangulation mesh

A novel stereo image coding algorithm based on delaunay tria...

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Conference on Visual Communications and image Processing 2004

作者： Han, JG Lu, ZY Xidian Univ Sch Telecommun Engn ISN Natl Key Lab Shaanxi 710071 Xian Peoples R China

ISBN: (纸本)0819452114

Stereo image compression is of growing interest because of new display technologies and the needs of telepresence systems. A variety of algorithms have appeared in the literature that make use of the framework of block-based disparity estimation and disparity-compensated residual coding. which is similar to the monoscopic image framework. So that it has several drawbacks, for example, blocking artifacts. In this paper, a novel adaptive DT mesh based stereoscopic image coding algorithm is proposed. The algorithm makes use of adaptive DT mesh to estimate disparity vectors, and EZDCT based residual image coding. The algorithm is performed in three steps: adaptive DT description for the reference image. disparity, vector estimation based mesh and simple occluded regions detection, and disparity vector and residual image coding. Much of this work concentrates on improving the veracity of disparity estimation using DT mesh model and encoding the residual image appropriately. Simulation results show that the proposed scheme achieves higher veracity of disparity estimation at least 10%, as compared to conventional algorithms. And compared with conventional compression algorithms, the algorithm improves average PSNR about 1 db. Especially at low bit rates, this algorithm achieves better perceptual quality of decoded image. as compared to a block-based coding scheme.

关键词： stereo image coding DT mesh disparity estimation residual image coding

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Segmentation-based motion estimation and residual coding for packet video

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Journal of Information Science and Engineering 1996年第3期12卷 397-397页

作者： Shen, D.F. IEEE Department of Electrical Engineering Natl. Yun-Lin Inst. of Technology Touliu Yun-Lin 640 Taiwan Taipei Institute of Technology University of Cincinnati North Carolina State University Taiwan Power Company GTE Telnet Reston VA United States Elec. and Comp. Eng. Department IBM Research Triangle Park NC United States Electrical Department Natl. Yun-lin Inst. of Technology Taiwan

In this paper, we present a novel video coding system, where the motion estimation, residual image coding and initial/refresh frame coding are integrated using an HVS-based segmentation (region) technique. The Region-based Motion estimation Algorithm (RMA) estimates motion vectors by matching regions rather than blocks. Region-based residual image coding (RRC) approximates the residual contents with the regions' mean intensities. To obtain faithful initial/refresh frames while keeping the bit-rate low, a Region-based Two-pass initial frame coding technique (RTC) is demonstrated: 0.6 bpp for SALESMAN and 0.3 bpp for CLAIRE with good image quality. In addition to encoding the Region match predicted residual images (RRI). the proposed residual image coding algorithm is also applied to BMA predicted residual images (BRI), and their performances are compared. It is found that the proposed RRC performs better with RMA residuals for image sequences with simpler contents such as CLAIRE;and that RRC performs better with BMA residuals for image sequences with more complex contents like SALESMAN. In any case, the proposed segmentation based residual coding technique is proven to be effective on both BMA and RMA residuals.

关键词： ATM network Human visual system property JND Pyramid Region based motion estimation residual image coding Segmentation

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