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基于边缘结构相似性的图像质量评价方法
Alternative TitleImage quality assessment method based on edge structure similarity
袁艳春; 刘云鹏; 高宏伟
Department光电信息技术研究室
Source Publication计算机应用研究
ISSN1001-3695
2015
Volume32Issue:11Pages:2870-2873
Indexed ByCSCD
CSCD IDCSCD:5495157
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
Abstract针对现有图像质量评估方法不能有效评价所有失真类型图像、计算量大等问题进行了研究,受人眼视觉特性的启发,提出了一种新的基于图像边缘结构相似性的全参考质量评价方法,该方法利用图像边缘梯度对图像失真的敏感性不同,首先通过Prewitt算子计算水平和竖直方向梯度向量绝对值和,进而定义了两种基于边缘结构相似性的图像质量评价标准:图像梯度结构相似度均值(GSSM)和图像梯度结构相似度标准差(GSSD)。标准图像数据库上的实验结果表明,GSSD方法优于GSSM和现有的全参考图象质量评价方法,主客观分值一致性好,并且计算简单,适合应用于大规模的图像质量评价。
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.
Language中文
Citation statistics
Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16181
Collection光电信息技术研究室
Affiliation1.沈阳理工大学信息科学与工程学院
2.中国科学院沈阳自动化研究所光电信息技术研究室
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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