An Improved Anisotropic Diffusion Model Based on Wavelet Transform For Image Denosing

摘要：

　　Preserving meaningful details such as blurred thin edges and low-contrast fine features is important in image de noising.A new method based on improved anisotropic diffusion model and wavelet transform is presented for image denoising.The proposed diffusion model incorporates both local gradient and gray-level variance to preserve edges and fine details while effectively removing noise in low-contrast surface images.

关键词： wavelet transform anisotropic diffusion image denosing

作者: Ruilin Zhang HuiMin Liu ZhuHua Hu weijieguo

作者单位: Zhejiang Sci-Tech University, Hangzhou,China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1205-1208

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）