DocumentCode
2209117
Title
An Improved Non-Convex Model for Multiplicative Noise Removal
Author
Huang, Lili ; Xiao, Liang ; Wei, Zhihui
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1145
Lastpage
1148
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.278
Filename
5454578
Link To Document