DocumentCode :
2157193
Title :
An empirical assessment of the structural similarity index
Author :
Dosselmann, Richard ; Yang, Xue Dong
Author_Institution :
Dept. of Comput. Sci., Univ. of Regina, Regina, SK
fYear :
2009
fDate :
3-6 May 2009
Firstpage :
112
Lastpage :
116
Abstract :
This research evaluates the performance of the structural similarity index. An increasingly popular image quality metric, the structural similarity index is essentially a measure of the statistical correlation of two images. Its alleged strengths and advantages are widely acclaimed. For an arbitrary set of test images, however, statistical regression reveals a surprisingly high degree of association between the index and the fallible mean squared error, despite claims to the contrary on the part of its designers. This discovery suggests a much closer relationship between these two metrics.
Keywords :
correlation methods; image processing; mean square error methods; regression analysis; image quality metric; mean squared error method; statistical image correlation; statistical regression analysis; structural similarity index assessment; Communication channels; Computer science; Digital cameras; Distortion measurement; Humans; Image analysis; Image coding; Image quality; Testing; Video compression; MSE; SSIM; image quality metric; mean squared error; structural similarity index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
Conference_Location :
St. John´s, NL
ISSN :
0840-7789
Print_ISBN :
978-1-4244-3509-8
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2009.5090102
Filename :
5090102
Link To Document :
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