摘要
采用各向异性扩散滤波方法,研究图像处理中的去噪问题,通过分析扩散函数和扩散常数对滤波效果的影响,利用图像压缩中判别压缩质量好坏的峰值信噪比作为迭代终止条件,在有效去除图像噪声的同时,能够保持图像的边缘信息不被过度滤除.
An anisotropic diffusion filtering method is used to research the denoising problem in image processing. By analyzing the influence of diffusion function and diffusion eonstant on the filtering effect, the peak signal to noise ratio in image compression is used as the iteration termination condition. This algorithm can keep the edge information of the image from being excessively filtered while effectively removing the noise.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第1期19-22,共4页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
重庆市教委科技项目(KJ122201)
关键词
图像去噪
各向异性扩散
边缘信息
迭代准则
扩散函数
mage denoising
anisotropic diffusion
edge information
iterative criteria
diffusion function
