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Alternative TitleImage quality assessment method based on edge structure similarity
袁艳春; 刘云鹏; 高宏伟
Source Publication计算机应用研究
Indexed ByCSCD
Contribution Rank1
Funding Organization中国科学院国防科技创新基金项目(CXJJ-14-Z65)
Keyword图像质量评价 全参考 Prewitt算子 梯度结构相似度均值 梯度结构相似度标准差
Other AbstractStudy for the existing image quality assessment methods can not effectively evaluate all types of image distortion, and large amount of calculation problems. This paper propose a new full reference image quality assessment method based on edge structure similarity inspired by the human visual system. Considering the image gradient sensitivity is different when observing different distortion image, the method compute the sum of horizontal gradient absolute value and vertical gradient absolute value by Prewitt filter operator. then proposed two image quality evaluation criteria based on edge structure similarity: Image gradient structure similarity mean (GSSM) and Image gradient structure similarity standard deviation(GSSD).Experimental results on standard image database show that the GSSD methods is superior to GSSM method and existing full reference image quality assessment methods. It obtains high correlations with subjective quality evaluations and low calculation,and is more suitable for large-scale image quality assessment.
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Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Recommended Citation
GB/T 7714
袁艳春,刘云鹏,高宏伟. 基于边缘结构相似性的图像质量评价方法[J]. 计算机应用研究,2015,32(11):2870-2873.
APA 袁艳春,刘云鹏,&高宏伟.(2015).基于边缘结构相似性的图像质量评价方法.计算机应用研究,32(11),2870-2873.
MLA 袁艳春,et al."基于边缘结构相似性的图像质量评价方法".计算机应用研究 32.11(2015):2870-2873.
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