Title :
A Variational Model Combining Curvelet Shrinkage and Nonlinear Anisotropic Diffusion for Image Denoising
Author :
Zhang, Weibin ; Zhang, Wenjuan
Author_Institution :
Sch. of Sci., Xidian Univ., Xi´´an, China
Abstract :
In this paper, we propose a new variational model for image denoising, which contains two regularizing term. One regularizing term is BV norm, another is formulated in terms of summation in curvelet domain. Solving this new variational model results in an iterative algorithm, which combines naturally curvelet shrinkage with nonlinear anisotropic diffusion equations. Numerical examples show that the proposed method has good performances for image denoising.
Keywords :
curvelet transforms; image denoising; iterative methods; variational techniques; BV regularizing term; curvelet shrinkage; image denoising; iterative algorithm; nonlinear anisotropic diffusion equation; variational model; Anisotropic magnetoresistance; Computer security; Filters; Image denoising; Information security; Iterative algorithms; Mathematical model; Mathematics; Nonlinear equations; TV; Anisotropic diffusion; Curvelet shrinkage; Image denoising;
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xian
Print_ISBN :
978-0-7695-3744-3
DOI :
10.1109/IAS.2009.155
