DocumentCode :
2831547
Title :
Reducing aliasing in images: A simple diffusion equation based on the inverse diffusivity
Author :
Ziou, Djemel ; Horé, Alain
Author_Institution :
Dept. d´´Inf., Univ. de Sherbrooke, Sherbrooke, QC, Canada
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
3389
Lastpage :
3392
Abstract :
In this paper, we introduce a new algorithm that can be used for reducing aliasing in images. Our algorithm, which is derived from the standard diffusion equation, cancels the aliasing of step edges found in images by reducing their curvature while preserving their contrast through a high-pass filter. Our algorithm can be seen as an adaptive level-curve method in which diffusion is carried out in the normal direction of the gradient. Experimental tests based on different grey-level images show that our algorithm efficiently reduces aliasing, which is confirmed through objective and subjective quality evaluations.
Keywords :
edge detection; high-pass filters; image enhancement; image restoration; adaptive level curve method; diffusion equation; grey-level image; high pass filter; image aliasing; inverse diffusivity; quality evaluation; standard diffusion equation; Conferences; Diffusion processes; Equations; Image edge detection; Laplace equations; Mathematical model; Diffusion; aliasing; curvature; step edge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116437
Filename :
6116437
Link To Document :
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