HVS-based Structural Similarity for Image Quality Assessment

被引：0
|
作者：
Wang, Bo [1 ]
Wang, Zhibing [1 ]
Liao, Yupeng [1 ]
Lin, Xinggang [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年
关键词：
HSSIM; HVS; SSIM; image metric;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Objective quality assessment is important and widely used in image processing. Recently, the metric named Structural Similarity is proposed, which is based on the assumption that human visual perception is highly adapted for extracting structural information. This metric has a better Performance than PSNR in many cases but fails in case evaluating the badly blurred images. This limitation is inconsistent with the characteristics Of human visual system (HVS) and leads to our inspiration of applying HVS characters to images structural similarity. Our method, HVS-based Structural Similarity(HSSIM), employs the HVS characters both in frequency domain and spatial domain. It can be concluded in our experiment that HSSIM performs better than PSNR and SSIM, especially for badly blurred images.
引用
收藏
页码：1195 / 1198
页数：4
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