CIOMP OpenIR  > 中科院长春光机所知识产出
Improved rattle snake dual mode cell model for image fusion
Wang, Y.; Y.-Q. Wang and J. Ma
2016
发表期刊Guangxue Jingmi Gongcheng/Optics and Precision Engineering
卷号24期号:11
摘要In this study, the combining strategies are considered to be effective tools to improve the performance of the image quality assessment (IQA) metrics. A new metric is proposed to evaluate the quality of test images of combined degradation and individual degradation. The complex numbers are used to describe the image structure in the proposed method. On the basis of that, the properties of the classical IQA method based on singular value decomposition are analysed. The difference between energy visual map and structure visual map is shown. The complex-number-based approach is different from the classical scalar-based techniques, which are insufficient to describe image structure. The proposed C_SVDQ metric can be considered as a vectorial expansion of structure similarity. In the experiments, an extensive comparison between the proposed C_SVDQ and other IQA metrics on image quality database was performed. Both the overall tests and the individual distortion tests show the superiority of this new approach in IQA.
文章类型期刊
收录类别EI
语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/57262
专题中科院长春光机所知识产出
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Wang, Y.,Y.-Q. Wang and J. Ma. Improved rattle snake dual mode cell model for image fusion[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2016,24(11).
APA Wang, Y.,&Y.-Q. Wang and J. Ma.(2016).Improved rattle snake dual mode cell model for image fusion.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,24(11).
MLA Wang, Y.,et al."Improved rattle snake dual mode cell model for image fusion".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 24.11(2016).
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