NDLI: Image restoration using a kNN-variant of the mean-shift

Content Provider	IEEE Xplore Digital Library
Author	Angelino, C.V. Debreuve, E. Barlaud, M.
Copyright Year	2008
Description	Author affiliation: Lab. I3S, Univ. of Nice-Sophia Antipolis, Sophia Antipolis (Angelino, C.V.; Debreuve, E.; Barlaud, M.)
Abstract	The image restoration problem is addressed in the variational framework. The focus was set on denoising. The statistics of natural images are consistent with the Markov random field principles. Therefore, a restoration process should preserve the correlation between adjacent pixels. The proposed approach minimizes the conditional entropy of a pixel knowing its neighborhood. The conditional aspect helps preserving local image structures such as edges and textures. The statistical properties of the degraded image are estimated using a novel, adaptive weighted k-th nearest neighbor (kNN) strategy. The derived gradient descent procedure is mainly based on mean- shift computations in this framework.
Starting Page	573
Ending Page	576
File Size	208443
Page Count	4
File Format	PDF
ISBN	9781424417650
ISSN	15224880
DOI	10.1109/ICIP.2008.4711819
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Entropy Pixel Noise reduction Degradation Nearest neighbor searches Additive noise State estimation Statistics Filtering mean-shift joint conditional entropy k-th nearest neighbors
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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