NDLI: Local Variance-Controlled Forward-and-Backward Diffusion for Image Enhancement and Noise Reduction

Content Provider	IEEE Xplore Digital Library
Author	Yi Wang Liangpei Zhang Pingxiang Li
Copyright Year	1992
Abstract	In order to improve signal-to-noise ratio (SNR) and contrast-to-noise ratio, this paper introduces a local variance-controlled forward-and-backward (LVCFAB) diffusion algorithm for edge enhancement and noise reduction. In our algorithm, an alternative FAB diffusion algorithm is proposed. The results for the alternative FAB algorithm show better algorithm behavior than other existing diffusion FAB approaches. Furthermore, two distinct discontinuity measures and the alternative FAB diffusion are incorporated into a LVCFAB diffusion algorithm, where the joint use of the two measures leads to a complementary effect for preserving edge features in digital images. This LVC mechanism adaptively modifies the degree of diffusion at any image location and is dependent on both local gradient and inhomogeneity. Qualitative experiments, based on general digital images and magnetic resonance images, show significant improvements when the LVCFAB diffusion algorithm is used versus the existing anisotropic diffusion and the previous FAB diffusion algorithms for enhancing edge features and improving image contrast. Quantitative analyses, based on peak SNR, confirm the superiority of the proposed LVCFAB diffusion algorithm.
Sponsorship	IEEE Signal Processing Society
Page Count	11
File Size	2779641
Starting Page	1854
Ending Page	1864
File Format	PDF
ISSN	10577149
Volume Number	16
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image enhancement Noise reduction Signal to noise ratio Digital images Anisotropic magnetoresistance Equations Filtering algorithms Diffusion processes Degradation Remote sensing noise reduction Anisotropic diffusion discontinuity measure forward and backward (FAB) image enhancement inhomogeneity local variance
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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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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