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Alternative TitleMulti-distorted image quality assessment algorithm based on sparse representation and SOM
王春哲; 安军社; 姜秀杰; 李杰; 张羽丰
Source Publication液晶与显示
Keyword图像质量评价 多失真图像 稀疏表示 聚类 交叉验证
Other AbstractDue to the problem of poor consistency between objective score in nonlinear regression and subjective scores,a multi-distorted image quality assessment method based on sparse representation and SOM is presented in this paper.Firstly,the reference image and the multi-distorted image are represented sparsely by independent component analysis,and the structural similarity index between the reference image and the distorted image under the sparse representation is computed to describe the quality of multi-distorted image.Secondly,the consistency between objective score in nonlinear regression and subjective score is improved by the SOM and cross-validation algorithms.Finally,the experimental results in LIVE2,TID2013 and IVC databases show that the proposed evaluation model has good performance.The average result of 3 kinds of databases shows that the overall performance of the method is higher than the existing classical algorithm,which indicates that the proposed method can reflect the visual perception of the image well.Comparison with the time efficiency,the proposed algorithm can basically meet the practical demand and has high practicability.
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Document Type期刊论文
Recommended Citation
GB/T 7714
王春哲,安军社,姜秀杰,等. 基于稀疏表示的SOM多失真图像质量评价方法[J]. 液晶与显示,2018,33(10):877-883.
APA 王春哲,安军社,姜秀杰,李杰,&张羽丰.(2018).基于稀疏表示的SOM多失真图像质量评价方法.液晶与显示,33(10),877-883.
MLA 王春哲,et al."基于稀疏表示的SOM多失真图像质量评价方法".液晶与显示 33.10(2018):877-883.
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