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Image Denoising Using Earth Mover's Distance and Local Histograms
Nezamoddin N. Kachoui
Pages - 66 - 76     |    Revised - 25-02-2010     |    Published - 31-03-2010
Volume - 4   Issue - 1    |    Publication Date - March 2010  Table of Contents
Denoising, Bilateral filtering, Local histogram, Earth mover’s distance.
In this paper an adaptive range and domain filtering is presented. In the proposed method local histograms are computed to tune the range and domain extensions of bilateral filter. Noise histogram is estimated to measure the noise level at each pixel in the noisy image. The extensions of range and domain filters are determined based on pixel noise level. Experimental results show that the proposed method effectively removes the noise while preserves the details. The proposed method performs better than bilateral filter and restored test images have higher PSNR than those obtained by applying popular Bayesshrink wavelet denoising method.
CITED BY (1)  
1 Selvi, M. (2014). EBMBDT: Effective Block Matching Based Denoising Technique using Dual Tree Complex Wavelet Transform. Machine Graphics and Vision, 23, 23-41.
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Dr. Nezamoddin N. Kachoui
Department of Systems Design Engineering, University of Waterloo , Waterloo, ON, Canada Present Affiliation: Harvard - MIT Healt h Sciences and Technology Harvard Medical School,Cambridge,MA,USA - United States of America

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