Discrete cosine transform−based local adaptive filtering of images corrupted by nonstationary noise

In many image-processing applications, observed images are contaminated by a nonstationary noise and no information on noise dependence on local mean or about local properties of noise statistics is available. In order to remove such a noise, a locally adaptive filter has to be applied. We study a l...

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Bibliographic Details
Published in:Journal of electronic imaging 2010-04, Vol.19 (2), p.023007-023007
Main Authors: Lukin, Vladimir V, Fevralev, Dmitriy V, Ponomarenko, Nikolay N, Abramov, Sergey K, Pogrebnyak, Oleksiy B, Egiazarian, Karen O, Astola, Jaakko T
Format: Article
Language:English
Subjects:
Adaptive filters
Blinds
Computer simulation
Electronics
Imaging
Noise
Statistics
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Summary:In many image-processing applications, observed images are contaminated by a nonstationary noise and no information on noise dependence on local mean or about local properties of noise statistics is available. In order to remove such a noise, a locally adaptive filter has to be applied. We study a locally adaptive filter based on evaluation of image local activity in a "blind" manner and on discrete cosine transform computed in overlapping blocks. Two mechanisms of local adaptation are proposed and applied. The first mechanism takes into account local estimates of noise standard deviation while the second one exploits discrimination of homogeneous and heterogeneous image regions by adaptive threshold setting. The designed filter performance is tested for simulated data as well as for real-life remote-sensing and maritime radar images. Recommendations concerning filter parameter setting are provided. An area of applicability of the proposed filter is defined.
ISSN:1017-9909
1560-229X
DOI:10.1117/1.3421973