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Two-step Image Denoising
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