The Contourlet-based structural similarity for image quality evaluation

Taking into account the fact that the judgment on image quality by human eyes is more dependent on the main contours of an image, the Contourlet-based structural similarity method (CSSIM) is introduced and analyzed in the paper. The outline information of an image can be extracted through multi-scal...

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Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 383 - 386
Main Authors Yan, Zhidan, Li, Junxiang, Yang, Chunmei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Contourlet transform
Fitting
Image color analysis
Image decomposition
Image quality
image quality evaluation
Indexes
Quality assessment
Signal processing algorithms
structural similarity
Transforms
Videos
Visualization
Online AccessGet full text
ISBN9781467311830
1467311839
DOI10.1109/BMEI.2012.6513074

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Abstract Taking into account the fact that the judgment on image quality by human eyes is more dependent on the main contours of an image, the Contourlet-based structural similarity method (CSSIM) is introduced and analyzed in the paper. The outline information of an image can be extracted through multi-scale decomposition process. The simulated experiments show that CSSIM is more consistent with visual characteristics of human eyes and better than the common quality evaluation method of structural similarity (SSIM) to judge the image quality.
AbstractList Taking into account the fact that the judgment on image quality by human eyes is more dependent on the main contours of an image, the Contourlet-based structural similarity method (CSSIM) is introduced and analyzed in the paper. The outline information of an image can be extracted through multi-scale decomposition process. The simulated experiments show that CSSIM is more consistent with visual characteristics of human eyes and better than the common quality evaluation method of structural similarity (SSIM) to judge the image quality.
Author Yang, Chunmei
Li, Junxiang
Yan, Zhidan
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  organization: College of Information & Control Engineering, China University of Petroleum(East China), 266580 Qingdao, Shandong Province, China
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Snippet Taking into account the fact that the judgment on image quality by human eyes is more dependent on the main contours of an image, the Contourlet-based...
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StartPage 383
SubjectTerms Contourlet transform
Fitting
Image color analysis
Image decomposition
Image quality
image quality evaluation
Indexes
Quality assessment
Signal processing algorithms
structural similarity
Transforms
Videos
Visualization
Title The Contourlet-based structural similarity for image quality evaluation
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