湖南大学学报（自然科学版）2016，Vol.43Issue(8)：135-141,7.
多方向几何非线性扩散图像去噪方法
Multi-directional Geometric Nonlinear Diffusion Method for Image Denoising
摘要
Abstract
As the direction of edges in images is not taken into account,the original geometric nonlinear diffusion filter (GNLDF)is not in the best state for images denoising,which diffuses only in the horizontal and vertical directions.In this study,we detected the edges and their directions in images based on the magnitude of the gradient in the direction of the eight neighborhoods of each pixel,then conducted GNLDF at the edge pixel j ust along the directions of the edges while at any no edge pixel along all four directions. Experiment results of five typical images with five levels of noise intensity show that the proposed method can not only effectively remove the noise but also better protect the edges in images.关键词
图像去噪/各向异性扩散滤波/非线性扩散滤波/高斯噪声/图像处理Key words
image denoising/anisotropic diffusion filter/nonlinear diffusion filtering/Gaussian noise/image processing分类
信息技术与安全科学引用本文复制引用
刘国才,王帅卿..多方向几何非线性扩散图像去噪方法[J].湖南大学学报（自然科学版）,2016,43(8):135-141,7.基金项目
国家自然科学基金资助项目（61271382，61301254，61471166），National Natural Science Foundation of China （）
