Research Article

Article:A Simple Algorithm for Image Denoising Based on MS Segmentation

by  G.Vijaya, Dr.V.Vasudevan
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Issue 6
Published: June 2010
Authors: G.Vijaya, Dr.V.Vasudevan
10.5120/674-947
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G.Vijaya, Dr.V.Vasudevan . Article:A Simple Algorithm for Image Denoising Based on MS Segmentation. International Journal of Computer Applications. 2, 6 (June 2010), 9-15. DOI=10.5120/674-947

                        @article{ 10.5120/674-947,
                        author  = { G.Vijaya,Dr.V.Vasudevan },
                        title   = { Article:A Simple Algorithm for Image Denoising Based on MS Segmentation },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 2 },
                        number  = { 6 },
                        pages   = { 9-15 },
                        doi     = { 10.5120/674-947 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A G.Vijaya
                        %A Dr.V.Vasudevan
                        %T Article:A Simple Algorithm for Image Denoising Based on MS Segmentation%T 
                        %J International Journal of Computer Applications
                        %V 2
                        %N 6
                        %P 9-15
                        %R 10.5120/674-947
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Denoising & Segmentation are the key issues in all image processing researchers. The first step in image processing is segmentation. This can be done by using MS (Mean Shift) segmentation. After segmentation the image, the overall system quality can be improved by using the bilateral filter. The proposed method improves the bilateral filter through decomposing a signal into its frequency components. In this way, noise in different frequency component can be eliminated. Experimental results shown that our algorithm outperforms the other algorithms.

References
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Image Denoising Segmentation Mean Shift (MS) Bilateral filter

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