An Extension of the Interscale SURE-LET Approach for Image Denoising

作者：Cui, Lihong; Wang, Zhan; Cen, Yigang; Li, Xuguang; Sun, Jianjun^*

来源：INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2014, 11(2): 9.

DOI：10.5772/57294

• Orthonormal Wavelet
• Multivariate SURE-LET
• Interscale and Intrascale Dependence
• Multivariate Stein's Unbiased Risk Estimate
• Image Denoising

In this paper, an extension of the interscale SURE-LET approach exploiting the interscale and intrascale dependencies of wavelet coefficients is proposed to improve denoising performance. This method incorporates information on neighbouring coefficients into the linear expansion of thresholds (LETs) without additional parameters to capture the texture characteristics of this image. The resulting interscaleintrascale wavelet estimator consists of a linear expansion of multivariate thresholding functions, whose parameters are optimized thanks to a multivariate Stein's unbiased risk estimate (SURE). Some experimental results are given to demonstrate the strength of the proposed method.

• 出版日期2014-2-4
• 单位北京交通大学; 北京化工大学