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

Abstract : 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.
Type de document :
Article dans une revue
Journal of applied remote sensing, Bellingham, WA : SPIE, 2011, 5, pp.053502. 〈10.1117/1.3539768〉
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Soumis le : vendredi 14 février 2014 - 14:53:53
Dernière modification le : jeudi 5 avril 2018 - 12:30:18

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Vladimir Lukin, Sergey Abramov, Nikolay Ponomarenko, Mikhail Uss, Mikhail Zriakhov, et al.. Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics. Journal of applied remote sensing, Bellingham, WA : SPIE, 2011, 5, pp.053502. 〈10.1117/1.3539768〉. 〈hal-00946992〉

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