NDLI: Restoration of images via self-organizing feature map

Content Provider	IEEE Xplore Digital Library
Author	Yamauchi, K. Takeichi, M. Ishii, N.
Copyright Year	1999
Description	Author affiliation: Dept. of AI & Comput. Sci., Nagoya Inst. of Technol., Japan (Yamauchi, K.)
Abstract	S. Geman and D. Geman (1984) presented a basic statistical method for image restoration. In the method, the system searches an image X which makes a posterior probability p(X\|Y) maximum, where Y is a noisy image given as an input. Using a Bayesian method, the posterior probability is rewritten as log p(X\|Y)/spl prop/log p(X)+log p(Y\|X), where p(X) and p(Y\|X) are prior probability and likelihood of the image, respectively. The prior probability p(X) is usually represented by a heuristic function. S. Geman and D. Geman defined p(X) using the estimators to detect smoothness and edge. The prior probability greatly affects to the performance of the system so that it should be optimized to fit a class of images, which users want to restore. However, it is hard to optimize the estimator by hand. In this paper, we show a self-organizing feature map (SOM) proposed by Kohonen (1982) which approximately represents the prior probability of local features of images via learning. Therefore, the system can tune the estimator only by seeing original clean images. In the experiment section, we show that the new system using the SOM can restore actual images well.
Starting Page	942
Ending Page	947
File Size	797400
Page Count	6
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.825389
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Probability Statistical analysis Image edge detection Equations Learning systems Artificial intelligence Computer science Bayesian methods Markov random fields
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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