计算机工程与应用Issue(18)：130-133,4.DOI:10.3778/j.issn.1002-8331.1301-0160
各向异性扩散图像去噪的改进模型
Improved model of anisotropic diffusion image denoising
摘要
Abstract
In the process of image denoising, in order to remove noise effectively and preserve edges and key details, the diffu-sion coefficient based on the Cattle model is improved and a more effective adaptive denoising model is proposed. The model can not only adopt different diffusion coefficient according to different sizes of the gradient but also lead the edge sharping fac-tor of second order partial deviation into the diffusion coefficient. The best stop time evaluation criteria based on correlation co-efficient is proposed in the mean time. The experimental results show that the improved model is superior to C model, and can better coincide with the judge standard.关键词
图像去噪/各向异性扩散/扩散系数/相关系数Key words
image denoising/anisotropic diffusion/diffusion coefficient/correlation coefficient分类
信息技术与安全科学引用本文复制引用
郑满满,胡小兵,郑申海..各向异性扩散图像去噪的改进模型[J].计算机工程与应用,2013,(18):130-133,4.基金项目
重庆市自然科学基金资助项目（CSPC，2005BB2197）；重庆大学“211工程”三期创新人才培养计划建设基金资助项目（No.S-09110）。 （）
