A Reduced Reference Image Quality Assessment For Multiply Distorted Images

被引：0
|
作者：
Chetouani, Aladine [1 ]
机构：
[1] Univ Orleans, Polytech Orleans, PRISME, 12 Rue Blois, F-45100 Orleans, France
来源：
2015 IEEE/ACS 12TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2015年
关键词：
Image Quality; Subjective Judgments; Support Vector Machine; BLOCKING ARTIFACTS; INFORMATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we propose a new Reduced Reference Image Quality Metric for multiply degraded images based on a features extraction step and its combination. The selected features are extracted from the original image and its degraded version. Some of them aim to quantify the level of the considered degradation types, while the others quantify its sharpness. These features are then combined to obtain a single value, which corresponds to the predicted subjective score. Our method has been evaluated and compared in terms of correlation with subjective judgments to some recent methods by using the LIVE Multiply Distorted Image Quality Database.
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页数：4
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