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Two-step Image Denoising

Aravind B.N., K. V. Suresh. Published in Image Processing.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Aravind B.N., K. V. Suresh
10.5120/cae2016652054

Aravind B.N. and K V Suresh. Article: Two-step Image Denoising. Communications on Applied Electronics 4(2):1-5, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Aravind B.N. and K. V. Suresh},
	title = {Article: Two-step Image Denoising},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {2},
	pages = {1-5},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Image denoising is an area of active research. Many image denoising techniques have been proposed in literature both in spatial and transform domain. Image denoising always strikes a balance between noise removal and preserving edge information. An improved two-step approach using stationary wavelet transform is proposed in this paper. The first-step uses neighshrinksure followed by the nonlocal means method for denoising. The simulation results on synthetic and real images demonstrates the improvement of the proposed method.

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Keywords

Image denoising, Wavelet transform, Neighborhood dependency