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立体压缩图像的客观质量评价方法
引用本文:沈丽丽,侯春萍,杨嘉琛,张卓筠.立体压缩图像的客观质量评价方法[J].天津大学学报(自然科学与工程技术版),2009,42(12):1083-1088.
作者姓名:沈丽丽  侯春萍  杨嘉琛  张卓筠
作者单位:天津大学电子信息工程学院,天津,300072 
基金项目:国家高技术研究发展计划(863计划)资助项目,国家自然科学基金资助项目,天津市科技支撑计划资助项目 
摘    要:针对立体图像的客观质量评价问题,提出了一种适合于立体压缩图像的质量评价方法.该方法基于平面图像的人类视觉系统评价模型,考虑了人类视觉系统的多通道特性和对比度敏感度特性,使用Contourlet变换实现多通道分解,将立体图像对的差值信号进行评价.实验结果表明,该方法得到的质量评价结果符合人眼视觉特性,与主观质量评价方法的一致性较好,能够客观反映压缩立体图像的质量.

关 键 词:人类视觉系统  多通道分解  Contourlet变换

Objective Measurement for Stereo Compressed Images
SHEN Li-li,HOU Chun-ping,YANG Jia-chen,ZHANG Zhuo-yun.Objective Measurement for Stereo Compressed Images[J].Journal of Tianjin University(Science and Technology),2009,42(12):1083-1088.
Authors:SHEN Li-li  HOU Chun-ping  YANG Jia-chen  ZHANG Zhuo-yun
Institution:(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China)
Abstract:For the objective measurement of stereo images,a method was proposed which was suitable for compressed images. The method was based on human vision system models of planar images for objective quality measurements,taking the characteristics of multi-channel and contrast sensitivity of human visual system into consideration. Contourlet transform was applied to realize multi-channel decomposition. The absolute differences of stereo images were used for quality measurement. Experimental results show that the method basically accords with human vision characteristics,and can reflect the quality of stereo compressed images objectively. It is also consistent with subjective evaluation preferably.
Keywords:human visual system  multiple channel decomposition  Contourlet transform
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