DocumentCode
231613
Title
Gridwarping for image sharpening using one-dimensional approach
Author
Krylov, Andrey ; Nasonova, Alexandra ; Nasonov, Andrey
Author_Institution
Lab. of Math. Methods of Image Process., Lomonosov Moscow State Univ., Moscow, Russia
fYear
2014
fDate
19-23 Oct. 2014
Firstpage
672
Lastpage
677
Abstract
A new method for image sharpening via image warping is proposed. The idea of the method is to warp the uniform grid of the image in a way that the pixels around the blurred edge move closer to the edge according to its blurriness. The advantage of the proposed method is that instead of an accurate estimation of the blur kernel only approximate value of the edge blur level is required. Also, since image warping does not change pixel values and only moves pixels, the developed method does not increase the noise level. The proposed technique preserves the overall luminosity and textures of the image, while making the edges sharper and less noisy.
Keywords
approximation theory; image enhancement; image restoration; image texture; blur kernel; edge blur level; grid warping; image sharpening; image texture; image warping; luminosity; one-dimensional approach; Equations; Estimation; Image edge detection; Kernel; Mathematical model; Noise measurement; Vectors; Image warping; deblurring; edge width; sharpening;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location
Hangzhou
ISSN
2164-5221
Print_ISBN
978-1-4799-2188-1
Type
conf
DOI
10.1109/ICOSP.2014.7015088
Filename
7015088
Link To Document