New filter based on region segmentation and bilateral filtering
结合区域分割和双边滤波的图像去噪新算法

In this paper, we present a new algorithm to remove Gaussian noise in images by combining region segmentation and bilateral filtering.The pixel-based bilateral filter suffers difficulties in an appropriate selection of the smoothing parameter due to the disturbance of noise,which poses obstacles to the filtering process in dealing with edges and hence degrades the preservation of image structures.Based on the segmentation of images,this work takes advantage of the region map to facilitate the filtering process.Specifically,noise characteristics within regions and similarities between regions are utilized to derive smoothing parameters corresponding to the involved pixels.By applying filtering to pixels within regions and between regions in different means,the algorithm gains enhanced adaptability to image structures.Relative to some existing bilateral filter algorithms,testing results have demonstrated that the proposed algorithm improved the de-noising performance especially on the preservation of structure information.