NDLI: SAR Image Despeckling Using Data-Driven Tight Frame

Content Provider	IEEE Xplore Digital Library
Author	WenSen Feng Hong Lei
Copyright Year	2004
Abstract	Data-driven sparse representation of images has been shown to be efficient approaches to image denoising. Following this observation, a novel technique is developed in this letter for reducing the speckle in synthetic aperture radar (SAR). This technique is conducted first by converting the multiplicative noisy image into a tractable additive one by taking logarithms. Then, a discrete data-driven tight frame is derived from the logarithmic transformed image and used for noise removal. Numerical experiments suggest that the proposed scheme not only runs relatively fast owing to the adoption of tight frame but also achieves comparable performance in comparison with some state-of-the-art methods.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	1455
Ending Page	1459
Page Count	5
File Size	1058551
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synthetic aperture radar Speckle Noise Multiresolution analysis Remote sensing Vectors Noise measurement tight frame Sparse approximation speckle
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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