Paper
28 September 2009 Processing of images based on blind evaluation of noise type and characteristics
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Abstract
Most modern methods of image processing exploit a priori knowledge or estimates of noise type and its characteristics obtained in blind or interactive manner. However, the results of noise type blind determination can be false with some hopefully rather small probability. Similarly, the obtained estimates of noise parameters are characterized by certain accuracy. Clearly, false decisions and errors of estimates influence performance of image processing techniques that exploit the information on noise properties obtained in a blind manner. In this paper, we consider some aspects of such influence for several typical applications.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir V. Lukin, Sergey K. Abramov, Nikolay N. Ponomarenko, Mikhail L. Uss, Benoit Vozel, Kacem Chehdi, and Jaakko T. Astola "Processing of images based on blind evaluation of noise type and characteristics", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 74770B (28 September 2009); https://doi.org/10.1117/12.830058
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Image compression

Image filtering

Image processing

Sensors

Edge detection

Lab on a chip

Statistical analysis

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