一种基于小波分析的部分参考型图像质量评价方法  

A Reduce-Reference Image Quality Assessment Metrics Based on Wavelet Transform

作　　者：路文[1] 高新波[1] 王体胜[1] 

机构地区：[1]西安电子科技大学电子工程学院,西安710071

出　　处：《电子与信息学报》2009年第2期335-338,共4页Journal of Electronics & Information Technology

基　　金：新世纪优秀人才支持计划(NCET-04-0948);教育部长江学者和创新团队支持计划(IRT0645);国家自然科学基金(60771068)资助课题

摘　　要：部分参考型图像质量客观评价方法已经成为图像质量评价领域研究的热点之一。该文利用视觉感知特性,通过统计图像经小波分解后视觉感知系数在各子带中的变化情况,提出了一种基于小波分解的部分参考型图像质量评价方法。该方法与经典的RR-WISM(Reduced-Reference image quality assessment using Wavelet-domain natural Image Statistic Model)方法相比,主观感知的相关系数平均提高3%,主观感知的离出率平均降低6%,传输数据量减少50%,计算代价大大降低。实验结果表明提出的方法与主观感知有很好的一致性。Reduced-reference image quality measure has become to be one of the focuses in image processing fields. In this paper, a reduced-reference image quality assessment method based on wavelet is proposed. Based on the character of the human visual system, it is taken into account the variance of the visual sensitive coefficients to get the measure of distorted image. The proposed approach is characterized by a very low complexity of computation, and compared with traditional method of RR-WISM, is with a higher correlation coefficient by 3%, a lower outlier ratio by 6%, and a less amount of information being transmitted by 50%, the computation time is greatly reduced. The experiment results illustrate that the proposed approach has a good prediction accord with the subjective perception.

关 键 词：图像质量评价 人类视觉系统 小波变换 

分 类 号：TN911.73[电子电信—通信与信息系统]