DocumentCode
2135542
Title
The Contourlet-based structural similarity for image quality evaluation
Author
Zhidan Yan ; Junxiang Li ; Chunmei Yang
Author_Institution
Coll. of Inf. & Control Eng., China Univ. of Pet.(East China), Qingdao, China
fYear
2012
fDate
16-18 Oct. 2012
Firstpage
383
Lastpage
386
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.
Keywords
medical image processing; CSSIM technique; Contourlet based structural similarity; human eyes; image quality evaluation; multiscale decomposition process; Contourlet transform; image quality evaluation; structural similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-1183-0
Type
conf
DOI
10.1109/BMEI.2012.6513074
Filename
6513074
Link To Document