A No-reference Image Blur Metric Based on Two-pass Edge Analysis

被引：0
|
作者：
Ma, Xiaoyu [1 ]
Jiang, Xiuhua [1 ]
Lei, Xiaohua [1 ]
Zhang, Hui [1 ]
Liu, Ping [2 ]
机构：
[1] Commun Univ China, Informat Engn Sch, Beijing, Peoples R China
[2] Minist Culture China, Natl Ctr Publ Cultural Serv, Beijing, Peoples R China
来源：
2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2015年
关键词：
No Reference; Image Blur Metric; Edge Width;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents an efficient no-reference blur metric for images where image quality is quantified by the two pass edge analysis. The proposed method is based on the experimental result shown in section. which demonstrates that not all the edges spread when the images become blurred. So in the proposed method the spread of the edges were measured two times, one for the test image and one for the blurred image, to find the edges whose width increment correlates well with the image blurred intensity. Experiments using the LIVE blur database demonstrate that the proposed algorithm correlates well with subjective quality evaluations.
引用
收藏
页码：919 / 924
页数：6
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