期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2012
卷号：3
期号：4
页码：946-952
出版社：IJECCE
摘要：Multiplicative noise removal based on total variation (TV) regularization has been widely re- searched in image science. In multiplicative noise problems, original image is multiplied by a noise rather than added to the original image. Usually, the logarithmic amplification transforms the multiplicative noise model into the classical additive noise problem. This additive noise problem is then solved by ROF [23] model. In this paper we propose a model for multiplicative noise based on Euler’s Elastica model for additive noise [8]. Numerical examples demonstrate that the proposed algorithm is able to preserve small image details while the noise in the homogeneous regions is removed sufficiently. As a consequence, our method yields better denoised results than those of the current state of the art methods with respect to the SNR values
关键词：Speckle; Synthetic Aperture Radar; Total Variation ; Additive Operating Splitting
