A Simple Algorithm for Image Denoising Based on MS Segmentation

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.