NDLI: The denoising method of SAR image based on Retinex

Content Provider	IEEE Xplore Digital Library
Author	Liu Dan Dan Tang Chun Rui
Copyright Year	2010
Description	Author affiliation: Heilongjiang Inst. of Sci. & Technol., Harbin, China (Tang Chun Rui) \|\| Coll. of Autom., Harbin Eng. Univ., Harbin, China (Liu Dan Dan)
Abstract	The traditional SAR image denoising methods are not considered a shadow of image, but the shape of shadow is used for recognition. In order to take full use of SAR image dark areas information, the method of SAR image noising based on Retinex is proposed. Firstly, SAR image is decomposed into irradiated SAR image and reflected SAR image based on Retinex model; secondly, the decomposed irradiated SAR image carries through NSCT and threshold select according to context, then NSCT inverse transform; thirdly, reflected SAR image carries through NSCT, and the dark areas information and non-dark areas information are obtained by image binarization processing to irradiated SAR image according to certain threshold value. Bilateral filtering to dark areas information and context threshold select to non-dark areas information, then NSCT inverse transform; at last, image synthesizes according to Retinex model. The method takes full use of SAR image dark areas information, and the simulation results show that the denoising effects of the method is better than other methods.
File Size	232991
File Format	PDF
ISBN	9781424458219
e-ISBN	9781424458240
DOI	10.1109/ICFCC.2010.5497474
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Shape Filtering denosing Noise reduction Optical imaging Noise shaping SAR image Filters NSCT Retinex Optical noise Image denoising Context modeling
Content Type	Text
Resource Type	Article

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