IEICE Electronics Express
Online ISSN : 1349-2543
LETTER
Image denoising using a multivariate shrinkage function in the curvelet domain
Qiang GuoSongnian Yu
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JOURNALS FREE ACCESS

2010 Volume 7 Issue 3 Pages 126-131

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Abstract

A new method based on the curvelet transform is proposed for image denoising. This method exploits a multivariate generalized spherically contoured exponential (GSCE) probability density function to model neighboring curvelet coefficients. Based on the multivariate probability model, which takes account of the dependency between the estimated curvelet coefficients and their neighbors, a multivariate shrinkage function for image denoising is derived by maximum a posteriori (MAP) estimator. Experimental results show that the proposed method obtains better performance than the existing curvelet-based image denoising method.

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© 2010 by The Institute of Electronics, Information and Communication Engineers
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