Full Reference Image Quality Assessment of Perceptual Distortion based on Image Retargeting

被引：0
|
作者：
Shigwan, S. [1 ]
Birajdar, G. [1 ]
机构：
[1] Pillai HOC CoE & T, Dept Elect & Commun, Raigad 410206, MS, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING 2016 (ICCASP 2016) | 2017年 / 137卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image quality assessment is used for automatic evaluation of the image accurately. In this article, objective reference image quality assessment metric is used to evaluate the quality of retargeted images. The metric measures perceptual geometric distortion and information loss of retargeted images using deformable spatial pyramid (DSP) algorithm. NRID and Retarget Me database are employed to measure the performance of the metric. Experimental results shows that the performance of DSP algorithm is superior than Scale-invariant feature transform (SIFT) in terms of runtime and accuracy. Image retargeting, fast dense correspondence, Image quality assessment, deformable spatial pyramid, full reference image quality assessment
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收藏
页码：404 / 411
页数：8
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