A NO-REFERENCE SHARPNESS METRIC SENSITIVE TO BLUR AND NOISE

被引：0
|
作者：
Zhu, Xiang [1 ]
Milanfar, Peyman [1 ]
机构：
[1] Univ Calif Santa Cruz, Dept Elect Engn, Santa Cruz, CA 95064 USA
来源：
QOMEX: 2009 INTERNATIONAL WORKSHOP ON QUALITY OF MULTIMEDIA EXPERIENCE | 2009年
关键词：
Sharpness metric; blur; noise; singular value; gradient; covariance;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A no-reference objective sharpness metric detecting both blur and noise is proposed in this paper. This metric is based on the local gradients of the image and does not require any edge detection. Its value drops either when the test image becomes blurred or corrupted by random noise. It can be thought of as an indicator of the signal to noise ratio of the image Experiments using synthetic, natural, and compressed images arc presented to demonstrate the effectiveness and robustness of this metric. Its statistical properties are also provided.
引用
收藏
页码：64 / 69
页数：6
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