期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：2
页码：9683
出版社：S&S Publications
摘要：Image denoising emphasizes on noise removal while preserving meaningful details such as blurred thinedges and low contrast fine features. In this work, feature preservation anisotropic diffusion is proposed which not onlyremoves noise but also has the capability of preserving fine details even of low contrast in the denoised image. Thistype of filtering technique is also highly dependent on some crucial parameters of filtering such as conductancefunction, gradient threshold parameter and stopping time. This paper also focuses on the optimization of gradientthreshold parameter. The alternative options for the parameters of anisotropic diffusion at each stage of the algorithmare examined, evaluated and the best choice is selected. Experimental results evaluated on standard test images haveshown that the proposed anisotropic diffusion gives better results in terms of subjective and objective measure inrespect to other compared diffusion techniques.
