A novel multiple image deblurring technique using fuzzy projection onto convex sets

Seung Won Jung; Tae Hyun Kim; Sung Jea Ko

doi:10.1109/LSP.2008.2012227

A novel multiple image deblurring technique using fuzzy projection onto convex sets

Seung Won Jung, Tae Hyun Kim, Sung Jea Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

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.

Original language	English
Pages (from-to)	192-195
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	3
DOIs	https://doi.org/10.1109/LSP.2008.2012227
Publication status	Published - 2009

Keywords

Image deblurring
Point spread function (PSF)
Projection onto convex sets (POCS)

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2008.2012227

Cite this

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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.",

keywords = "Image deblurring, Point spread function (PSF), Projection onto convex sets (POCS)",

author = "Jung, {Seung Won} and Kim, {Tae Hyun} and Ko, {Sung Jea}",

note = "Funding Information: Manuscript received October 13, 2008; revised December 02, 2008. Current version published February 11, 2009. This work was supported by Seoul Future Contents Convergence (SFCC) Cluster established by Seoul R&BD Program. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Lisimachos Paul Kondi.",

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AU - Ko, Sung Jea

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N2 - 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.

AB - 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.

KW - Image deblurring

KW - Point spread function (PSF)

KW - Projection onto convex sets (POCS)

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A novel multiple image deblurring technique using fuzzy projection onto convex sets

Abstract

Keywords

ASJC Scopus subject areas

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