NDLI: Variational denoising of partly textured images by spatially varying constraints

Content Provider	IEEE Xplore Digital Library
Author	Gilboa, G. Sochen, N. Zeevi, Y.Y.
Copyright Year	1992
Abstract	Denoising algorithms based on gradient dependent regularizers, such as nonlinear diffusion processes and total variation denoising, modify images towards piecewise constant functions. Although edge sharpness and location is well preserved, important information, encoded in image features like textures or certain details, is often compromised in the process of denoising. We propose a mechanism that better preserves fine scale features in such denoising processes. A basic pyramidal structure-texture decomposition of images is presented and analyzed. A first level of this pyramid is used to isolate the noise and the relevant texture components in order to compute spatially varying constraints based on local variance measures. A variational formulation with a spatially varying fidelity term controls the extent of denoising over image regions. Our results show visual improvement as well as an increase in the signal-to-noise ratio over scalar fidelity term processes. This type of processing can be used for a variety of tasks in partial differential equation-based image processing and computer vision, and is stable and meaningful from a mathematical viewpoint
Sponsorship	IEEE Signal Processing Society
Page Count	9
File Size	3300909
Starting Page	2281
Ending Page	2289
File Format	PDF
ISSN	10577149
Volume Number	15
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Diffusion processes Image analysis Noise level Noise measurement Signal to noise ratio Differential equations Partial differential equations Image processing Computer vision variational image processing Image denoising nonlinear diffusion spatially varying fidelity term texture processing
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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