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