文章基本信息

标题：A Novel Objective Quality Assessment for Super-Resolution Images
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作者：Lei Shu ; Yuming Fang ; Zhijun Fang 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：5
页码：297-308
DOI：10.14257/ijsip.2016.9.5.27
出版社：SERSC
摘要：A novel objective quality assessment method is proposed for super-resolution images in this manuscript. We not only estimate the preserved information of each spatial location in the super-resolution image by structural similarity, but also compute the local phase coherence (LPC) with which we can detect the image blur in the super-resolution image. After the preserved structural information and blur information is obtained, an overall evaluation of visual quality of the super-resolution image can be computed. Experimental results show that the proposed objective quality assessment method can be used in the real applications with the original high-resolution images unavailable.
关键词：image quality assessment; super-resolution imgae; structural similarity; ; local phase coherence; blur detection