1 April 2010 Discrete cosine transform−based local adaptive filtering of images corrupted by nonstationary noise
Author Affiliations +
J. of Electronic Imaging, 19(2), 023007 (2010). doi:10.1117/1.3421973
Abstract
In many image-processing applications, observed images are contaminated by a nonstationary noise and no a priori 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.
Vladimir Vasilyevich Lukin, Dmitriy V. Fevralev, Nikolay N. Ponomarenko, Sergey Klavdievich Abramov, Oleksiy B. Pogrebnyak, Karen O. Egiazarian, Jaakko T. Astola, "Discrete cosine transform−based local adaptive filtering of images corrupted by nonstationary noise," Journal of Electronic Imaging 19(2), 023007 (1 April 2010). http://dx.doi.org/10.1117/1.3421973
Submission: Received ; Accepted
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KEYWORDS
Image filtering

Digital filtering

Nonlinear filtering

Image processing

Interference (communication)

Visualization

Electronic filtering

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