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Title of Journal: J Comput Sci Technol

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Abbravation: Journal of Computer Science and Technology

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Springer US

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DOI

10.1016/1043-6618(95)86958-1

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1860-4749

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Multilevel Threshold Based Image Denoising in Curv

Authors: Nguyen Thanh Binh Ashish Khare
Publish Date: 2010/05/08
Volume: 25, Issue: 3, Pages: 632-640
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Abstract

In this paper we propose a multilevel thresholding technique for noise removal in curvelet transform domain which uses cyclespinning Most of uncorrelated noise gets removed by thresholding curvelet coefficients at lowest level while correlated noise gets removed by only a fraction at lower levels so we used multilevel thresholding on curvelet coefficients The threshold in the proposed method depends on the variance of curvelet coefficients the mean and the median of absolute curvelet coefficients at a particular level which makes it adaptive in nature Results obtained for 2D images demonstrate an improved performance over other recent related methods available in literature

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