Title :
An Improved Non-Convex Model for Multiplicative Noise Removal
Author :
Huang, Lili ; Xiao, Liang ; Wei, Zhihui
Abstract :
Multiplicative noise removal problems have attached much attention in recent years. This paper proposes an improved non-convex variational model for multiplicative noise removal under the Weberized total variation (TV) regularization framework. An iterative algorithm based on the linearization technique for the associated nonlinear Euler-Lagrange equation is developed. Our experimental results show the good performance of the model.
Keywords :
image denoising; iterative methods; variational techniques; improved nonconvex model; improved nonconvex variational model; iterative algorithm; linearization technique; multiplicative noise removal; nonlinear Euler-Lagrange equation; weberized total variation regularization framework; Acoustic noise; Additive noise; Gaussian noise; Humans; Image processing; Image restoration; Iterative algorithms; Psychology; Speckle; TV;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.278
