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基于马尔可夫模型和小波变换的立体残差图像编码 被引量:2

Stereo residual image coding based on Markov model and wavelet transform
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摘要 利用立体图像,三维视觉通信能给人提供一种现场真实感。为了产生一个3D系统,必须同时传送两个图像(左图像和右图像)。因此应当研究一种更有效的编码方案。本文首先研究了立体图橡的统计特性和左右图像间的交叉相关性。并在分析了视差和残差图像的统计特性后,提出了一个基于小波变换的视差补偿残差(WDCD)的编码方案。仿真实验结果表明,在比特率为0.23bit/pel时,本文的方案重构的残差图像的信噪比(PSNR)和基于DCT的编码方案相比,要高0.58dB。 Three-dimension visual communications, made through the use of stereoscopic images,are able to achieve total display realism. In order to create a 3D system with two images(left and right) that should be transmitted simultaneously, and an efficient coding appropriate for stereoscopic images should be developed. As an initial step in realizing such a coding scheme, statistical characteristics of stereoscopic images and the cross correlation between the right and left images are presented. After analyzed the statistical characteristics of disparity and residual image, a new coding scheme of disparity compensated difference based on wavelet transform(WDCD) is presented. Simulation results show that the proposed scheme achieve higher PSNR, about 0.58dB, as well as better perceptual quality, as compared to a DCT-based coding scheme, at the same bit rate of 0.23bpp.
出处 《通信学报》 EI CSCD 北大核心 2002年第6期90-96,共7页 Journal on Communications
基金 国家自然科学基金资助项目(69972072)
关键词 马尔可夫模型 小波变换 立体残差图像编码 视差估计 离散 三维视觉通信 stereo image coding residual coding disparity estimation discrete wavelet transform
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