DocumentCode :
3148193
Title :
A local intensity adaptive structural similarity index
Author :
Li, Zhengguo ; Yeo, Chuohao ; Tan, Yihhan ; Rahardja, Susanto
Author_Institution :
Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
1149
Lastpage :
1152
Abstract :
Existing structural similarity (SSIM) index comprises of one term on luminance comparison and the other term on contrast and structure comparison. In this paper, the SSIM index is first improved by introducing three weighting factors to the second term such that it is adaptive to local intensities of two images to be compared. The improved SSIM (iSSIM) index is further extended for two images with possibly different exposures. Experimental results show that the proposed indices are more robust to large intensity changes of two images from the same scene and more sensitive to two images from different scenes than the existing SSIM index.
Keywords :
image processing; iSSIM index; image intensity; image processing; improved SSIM index; local intensity adaptive structural similarity index; luminance; weighting factors; Dynamic range; Humans; Indexes; Noise; Robustness; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288090
Filename :
6288090
Link To Document :
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