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

International Journal of Advanced Robotic Systems

LihongCui¹ 

关键词: Orthonormal Wavelet;    Multivariate SURE-LET;    Interscale;    Intrascale Dependence;    Multivariate Stein's Unbiased Risk Estimate;    Image Denoising;   

DOI  :  10.5772/57294

学科分类：自动化工程

来源: InTech

【 摘 要 】

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 interscale-intrascale 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.

【 授权许可】

CC BY