Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets

Authors
Jung, Seung-WonKim, Tae-HyunKo, Sung-Jea
Issue Date
1월-2009
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Image deblurring; point spread function (PSF); projection onto convex sets (POCS)
Citation
IEEE SIGNAL PROCESSING LETTERS, v.16, no.1-3, pp.192 - 195
Indexed
SCIE
SCOPUS
Journal Title
IEEE SIGNAL PROCESSING LETTERS
Volume
16
Number
1-3
Start Page
192
End Page
195
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/120785
DOI
10.1109/LSP.2008.2012227
ISSN
1070-9908
Abstract
In this letter, we present a novel image restoration algorithm to deblur the image without estimating the image blur. The proposed algorithm performs deblurring by merging differently blurred multiple images in the spectrum domain using the fuzzy projection onto convex sets (POCS). Experimental results demonstrate that the merged single image contains much less blur than the multiple blurred images.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jung, Seung won photo

Jung, Seung won
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE