计算技术与自动化2018，Vol.37Issue(1)：99-102,4.DOI:10.16339/j.cnki.jsjsyzdh.201801020
灰色复数矩阵SVD的无参考模糊图像质量评价
No-reference Blur Image Quality Assessment Based on Grey Complex Singular Value Decomposition
摘要
Abstract
In order to accentuate the complicated information that human eyes are sensitive to in an image,complex ma-trix was used to describe image structure,the method of no-reference blur image quality assessment based on grey weighted complex singular value decomposition was proposed.In this paper,based on point spread function,second blur image was generated by original blur image.The original fuzzy image and second blur image was respectively represented by the form of complex matrix,and then the original blur image and the second blur image were decomposed by the singular value decom-position in local region,the numerical quality assessment results were achieved by computing grey correlation of local singu-lar value.Experimental results on third open blur image databases show that the proposed method is more reasonable and has good agreement with the subjective score.关键词
模糊图像质量评价/无参考/相位一致/复数矩阵/奇异值分解/灰色关联分析Key words
blur image quality assessment/no-reference/phase congruency/complex matrix/singular value decomposition/grey correlation analysis分类
信息技术与安全科学引用本文复制引用
朱亚辉..灰色复数矩阵SVD的无参考模糊图像质量评价[J].计算技术与自动化,2018,37(1):99-102,4.基金项目
陕西省教育厅科学研究计划项目(16JK1183) （16JK1183）
陕西学前师范学院引进人才科研启动基金项目(2015DS02) （2015DS02）
陕西学前师范学院校级科研基金项目(2017YBKJ079) （2017YBKJ079）
