DocumentCode :
1300631
Title :
Adaptive point estimation in signal-dependent noise
Author :
Kasturi, Rangachar ; Walkup, John F. ; Krile, Thomas F.
Author_Institution :
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
Issue :
3
fYear :
1985
Firstpage :
352
Lastpage :
359
Abstract :
A number of adaptive estimators to restore images degraded by signal-dependent film grain noise have been derived. These estimators are characterized by their ability to adapt to the nonstationary properties of the image signal distribution. This adaptability results in restored images with better contrast and noise suppression properties when compared with nonadaptive estimators. Lookup tables were extensively used in order to reduce the computation time. In addition to the optimal Bayesian estimators, two suboptimal estimators were presented. Results of computer simulations conducted to evaluate the performances of the estimators using various image quality measures were also presented.
Keywords :
Bayes methods; computerised picture processing; estimation theory; adaptability; adaptive point estimation; film grain noise; image quality; image restoration; image signal distribution; optimal Bayesian estimators; picture processing; signal-dependent noise; suboptimal estimators; Computational modeling; Covariance matrix; Equations; Image restoration; Mathematical model; Noise; Vectors;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/TSMC.1985.6313370
Filename :
6313370
Link To Document :
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