NDLI: Decision-directed segmentation for the restoration of images degraded by a class of space-variant blurs

Content Provider	IEEE Xplore Digital Library
Author	Tekalp, A.M. Kaufman, H. Woods, J.W.
Copyright Year	1988
Description	Author affiliation: Dept. of Electr. Eng., Rochester Univ., NY, USA (Tekalp, A.M.; Kaufman, H.; Woods, J.W.)
Abstract	A decision-directed filtering algorithm has been developed for model-based segmentation and restoration of images degraded by a class of space-variant blurs. It is assumed that the space-variant blur can be represented by a collection of L distinct point-spread functions, where L is a predetermined integer, so that at each pixel one of the functions will be more or less matched to the observed data. A multiple-model Kalman filtering procedure with online model detection based on maximum a posteriori probability decision was used to restore the image. The result of the decision process constitutes a model-based segmentation of the degraded image into regions of spatially invariant blurs. There are several applications of the proposed algorithm. Among these, automatic blur detection, i.e. segmentation of a partially blurred image into regions of blur and no-blur, is demonstrated as an example.<>
Starting Page	980
Ending Page	983
File Size	628807
Page Count	4
File Format	PDF
ISSN	15206149
DOI	10.1109/ICASSP.1988.196756
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-04-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image restoration Degradation Filtering Adaptive filters Kalman filters Large scale integration Mathematical model Layout Cameras
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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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
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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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