Edge-based structural similarity for image quality assessment

被引：0
|
作者：
Chen, Guan-Hao [1 ]
Yang, Chun-Ling [1 ]
Po, Lai-Man [1 ]
Xie, Sheng-Li [1 ]
机构：
[1] S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13 | 2006年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Objective quality assessment has been widely used in image processing for decades and many researchers have been studying the objective quality assessment method based on Human Visual System (HVS). Recently the Structural Similarity (SSIAI) is proposed, under the assumption that the HVS is highly adapted for extracting structural information from a scene, and simulation results have proved that it is better than PSNR (or AEP. By deeply studying the SSIM, we find it fails in measuring the badly blurred images. Based on this, we develop an improved method which is called Edge-based Structural Similarity (ESSIAI). Experiment results show that ESSIM is more consistent with HVS than SSIM and PSNR especially for the blurred images.
引用
收藏
页码：2181 / 2184
页数：4
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