DocumentCode :
1759241
Title :
Deblurred Images Post-Processing by Poisson Warping
Author :
Nasonova, Alexandra ; Krylov, Andrey
Author_Institution :
Fac. of Comput. Math. & Cybern., Lomonosov Moscow State Univ., Moscow, Russia
Volume :
22
Issue :
4
fYear :
2015
fDate :
42095
Firstpage :
417
Lastpage :
420
Abstract :
In this work we develop a post-processing algorithm which enhances the results of the existing image deblurring methods. It performs additional edge sharpening using grid warping. The idea of the proposed algorithm is to transform the neighborhood of the edge so that the neighboring pixels move closer to the edge, and then resample the image from the warped grid to the original uniform grid. The proposed technique preserves image textures while making the edges sharper. The effectiveness of the method is shown for basic deblurring methods on LIVE database images with added blur and noise.
Keywords :
edge detection; image enhancement; image restoration; image texture; stochastic processes; LIVE database images; Poisson warping; deblurred images post-processing; edge sharpening; grid warping; image deblurring methods; image textures; warped grid; Image edge detection; Image restoration; Interpolation; Noise; Shape; Signal processing algorithms; Vectors; Image sharpening; deblurring; edge model; image grid warping; post-processing;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2361492
Filename :
6915685
Link To Document :
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