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Reseach Article

A Discontinuity Adaptive Prior for Image Denoising

by Aravind B N, K V Suresh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 2
Year of Publication: 2015
Authors: Aravind B N, K V Suresh
10.5120/19288-0710

Aravind B N, K V Suresh . A Discontinuity Adaptive Prior for Image Denoising. International Journal of Computer Applications. 110, 2 ( January 2015), 13-19. DOI=10.5120/19288-0710

@article{ 10.5120/19288-0710,
author = { Aravind B N, K V Suresh },
title = { A Discontinuity Adaptive Prior for Image Denoising },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 2 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number2/19288-0710/ },
doi = { 10.5120/19288-0710 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:19.520594+05:30
%A Aravind B N
%A K V Suresh
%T A Discontinuity Adaptive Prior for Image Denoising
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 2
%P 13-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The presence of noise in digital images degrades the visual quality by corrupting the information associated with the image. The aim of denoising is to restore an image from its noisy version by preserving signal information. In this paper, we are considering an image corrupted by additive Gaussian noise. The image is modeled as Markov random field (MRF) and an estimation of maximum-a-posteriori (MAP) is obtained using graduated non-convexity. The results are compared with other spatial domain filtering methods. The discontinuity adaptive prior helps in preserving edge information. The results suggest that proposed method has an improved performance.

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Index Terms

Computer Science
Information Sciences

Keywords

Image denoising Markov random field Discontinuity adaptive Graduated non-convexity.