会议专题

CONTOURLET TRANSFORM-BASED STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT

The research on image presentation and image processing algorithms in Contourlet domain has been increasingly wide and deep. Combined frequency band property of different direction and the perfect coefficient features of Contourlet transform, a new method of image quality assessment based on Structural Similarity (SSIM) and human vision system (HVS) -CT-SSIM is proposed in this paper. Theory analysis and experimental results show that the proposed CT-SSIM is more accurate and has better correlation with the subjective assessment of human beings. Also it can easily be embedded in image processing algorithms in Contourlet domain, to guide and optimize the processing algorithms.

Contourlet Transform (CT) structural similarity (SSIM) human visual system (HVS) Contourlet Transform based Structural Similarity (CT-SSIM)

Chun-Ling Yang Fan Wang Dongqin Xiao

School of Electronic and Information Engineering,South China University of Technology Guangzhou 510640,China

国际会议

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

上海

英文

2704-2708

2009-11-20(万方平台首次上网日期,不代表论文的发表时间)