NDLI: Blind Bi-Level Image Restoration With Iterated Quadratic Programming

Content Provider	IEEE Xplore Digital Library
Author	Lam, E.Y.
Copyright Year	2004
Abstract	Many camera systems are dedicated to the capture of bi-level objects, including documents, bar codes, handwritten signatures, and vehicle license plates. Degradations in the imaging systems, however, cause blurring to the output images and introduce many more intensity levels. The blurring often arises from the optical aberrations and motions between the object and the camera, and hampers any computer vision algorithms aimed at automatic recognition and identification of these images. While image restoration has been applied frequently in such cases, many of these algorithms do not explicitly incorporate knowledge of a bi-level object, but attempt to apply a generic restoration scheme followed by thresholding. Such two-step algorithms may not produce the best results. On the other hand, directly restoring a bi-level object is a combinatorial task and is therefore time-consuming. In this brief, we propose a method that treats the blind restoration method as an iterated quadratic programming optimization problem. This has the properties of fast convergence and good numerical stability, due to established schemes such as the interior-point algorithm. The output of our algorithm is very nearly binary. Simulation results show that by integrating the computation in the imaging system, this proposed technique can restore weak signals that would have been lost with a simple thresholding
Sponsorship	IEEE Circuits and Systems Society
Starting Page	52
Ending Page	56
Page Count	5
File Size	680831
File Format	PDF
ISSN	15497747
Volume Number	54
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-01
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 restoration Quadratic programming Cameras Optical imaging Vehicles Licenses Degradation Computer vision Image recognition Object recognition resolution enhancement Bi-level images blind deconvolution image restoration iteration
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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