CONTOURLET TRANSFORM-BASED STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT

被引：0
|
作者：
Yang, Chun-Ling [1 ]
Wang, Fan [1 ]
Xiao, Dongqin [1 ]
机构：
[1] S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 4 | 2009年
关键词：
Contourlet Transform (CT); structural similarity (SSIM); human visual system (HVS); Contourlet Transform based Structural Similarity (CT-SSIM); FIDELITY-CRITERION;
D O I：
10.1109/ICICISYS.2009.5357699
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：175 / 179
页数：5
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