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 |
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Pages (from-to) | 192-195 |
Number of pages | 4 |
Journal | IEEE Signal Processing Letters |
Volume | 16 |
Issue number | 3 |
DOIs | |
Publication status | Published - 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