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Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics
J. Appl. Remote Sens. 5, 053502 (Feb 23, 2011); http://dx.doi.org/10.1117/1.3539768
In many modern applications, methods and algorithms used for image processing require a priori knowledge or estimates of noise type and its characteristics. Noise type and basic parameters can be sometimes known in advance or determined in an interactive manner. However, it occurs more and more often that they should be estimated in a blind manner. The results of noise-type blind determination can be false, and the estimates of noise parameters are characterized by certain accuracy. Such false decisions and estimation errors have an impact on performance of image-processing techniques that is based on the obtained information. We address some issues of such a negative influence. Possible structures of automatic procedures are presented and discussed for several typical applications of image processing as remote sensing data preprocessing and compression.
© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)
History
Received Jan 04, 2010
Accepted Dec 10, 2010
Revised Oct 23, 2010
Published online Feb 23, 2011
Accepted Dec 10, 2010
Revised Oct 23, 2010
Published online Feb 23, 2011
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Vladimir V. Lukin, Sergey K. Abramov, Nikolay N. Ponomarenko, Mikhail L. Uss, Mikhail Zriakhov, Benoit Vozel, Kacem Chehdi and Jaakko T. Astola, "Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics",
J. Appl. Remote Sens. 5, 053502 (Feb 23, 2011); http://dx.doi.org/10.1117/1.3539768
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