Research Papers

Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics

[+] Author Affiliations
Vladimir V. Lukin, Sergey K. Abramov, Nikolay N. Ponomarenko, Mikhail Zriakhov

National Aerospace University, 61070, Kharkov, Ukraine

Mikhail L. Uss

National Aerospace University, 61070, Kharkov, Ukraine

University of Rennes 1, BP 80518, 6, Rue de Kerampont, Lannion Cedex, 22305 France,

Benoit Vozel, Kacem Chehdi

University of Rennes 1, BP 80518, 6, Rue de Kerampont, Lannion Cedex, 22305 France,

Jaakko T. Astola

Tampere University of Technology, FIN 33101, Tampere, Finland

J. Appl. Remote Sens. 5(1), 053502 (February 23, 2011). doi:10.1117/1.3539768
History: Received January 04, 2010; Revised October 23, 2010; Accepted December 10, 2010; Published February 23, 2011; Online February 23, 2011
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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)

Citation

Vladimir V. Lukin ; Sergey K. Abramov ; Nikolay N. Ponomarenko ; Mikhail L. Uss ; Mikhail Zriakhov, et al.
"Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics", J. Appl. Remote Sens. 5(1), 053502 (February 23, 2011). ; http://dx.doi.org/10.1117/1.3539768


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