A NO-REFERENCE IMAGE QUALITY METRIC SENSITIVE TO BLUR

被引：0
|
作者：
Zhang, Hong [1 ]
Feng, Yuan [1 ]
Yuan, Ding [1 ]
Li, Yuecheng [1 ]
Sun, Mingui
机构：
[1] Beihang Univ, Image Proc Ctr, Beijing 100191, Peoples R China
来源：
4TH INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGY AND ENGINEERING (ICSTE 2012) | 2012年
关键词：
Image quality assessment; NR quality metric; Structural similarity (SSIM); Blur;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The quality of digital image is rarely perfect and images are usually subject to distortions during acquisition, compression, transmission, processing and reproduction. No-reference (NR) image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. The aim of this paper is to develop a novel NR blur metric (NRBM) for quality evaluation of blurry image. The experimental results indicate that the proposed assessment method gives high correlation with subjective Mean Opinion Score (MOS).
引用
收藏
页码：381 / 385
页数：5
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