DocumentCode :
28997
Title :
Optimal Design of Multichannel Equalizers for the Structural Similarity Index
Author :
Li Chai ; Yuxia Sheng
Author_Institution :
Sch. of Inf. Sci. & Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China
Volume :
23
Issue :
12
fYear :
2014
fDate :
Dec. 2014
Firstpage :
5626
Lastpage :
5637
Abstract :
The optimization of multichannel equalizers is studied for the structural similarity (SSIM) criteria. The closed-form formula is provided for the optimal equalizer when the mean of the source is zero. The formula shows that the equalizer with maximal SSIM index is equal to the one with minimal mean square error (MSE) multiplied by a positive real number, which is shown to be equal to the inverse of the achieved SSIM index. The relation of the maximal SSIM index to the minimal MSE is also established for given blurring filters and fixed length equalizers. An algorithm is also presented to compute the suboptimal equalizer for the general sources. Various numerical examples are given to demonstrate the effectiveness of the results.
Keywords :
image restoration; mean square error methods; MSE; closed-form formula; general sources; image restoration; maximal SSIM index; minimal mean square error; multichannel equalizers; structural similarity index; suboptimal equalizer; Algorithm design and analysis; Equalizers; Image reconstruction; Image restoration; Indexes; Noise; Optimization; Structural similarity; image restoration; linear equalizers; mean square error; optimal design;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2014.2367320
Filename :
6948352
Link To Document :
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