Abstract | ||
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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. |
Year | DOI | Venue |
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2009 | 10.1109/LSP.2008.2012227 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
fuzzy set theory,spectrum domain,projection onto convex sets,projection onto convex sets (pocs),image restoration,point spread function (psf),multiple image deblurring,optical transfer function,image deblurring,fuzzy projection,probability density function,frequency domain analysis,degradation,spectrum,point spread function,layout,deconvolution,merging,data mining,fuzzy sets,image reconstruction | Optical transfer function,Deconvolution,Fuzzy set,Artificial intelligence,Image restoration,Frequency domain,Computer vision,Mathematical optimization,Deblurring,Pattern recognition,Fuzzy logic,Regular polygon,Mathematics | Journal |
Volume | Issue | ISSN |
16 | 3 | 1070-9908 |
Citations | PageRank | References |
7 | 0.54 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Seung-Won Jung | 1 | 176 | 14.68 |
Taehyun Kim | 2 | 234 | 30.74 |
Sung-Jea Ko | 3 | 1051 | 114.34 |