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

Seung Won Jung, Tae Hyun Kim, Sung Jea Ko

    Research output: Contribution to journalArticlepeer-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 languageEnglish
    Pages (from-to)192-195
    Number of pages4
    JournalIEEE Signal Processing Letters
    Volume16
    Issue number3
    DOIs
    Publication statusPublished - 2009

    Bibliographical 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.

    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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