计算机与现代化Issue(5)：53-56,4.DOI:10.3969/j.issn.1006-2475.2015.05.011
基于剪切波和改进 P-M 扩散的图像去噪
Image Denoising Based on Shearlet Transform and Improved Anisotropic Diffusion
摘要
Abstract
To suppress the pseudo-Gibbs in multi-scale geometric analysis denoising and alert the staircase effect in anisotropic diffusion effectively , an image denoising method combining shearlet transform and improved anisotropic diffusion is proposed . Firstly, the noisy image is decomposed by shearlet transform , and different scale coefficient matrices are obtained .Then, the im-proved anisotropic diffusion equation is applied to process these shearlet coefficients , which realized a new anisotropic diffusion denoising based on multi-scale analysis of the image .Finally, the clean image is obtained from the processed shearlet coeffi-cients.Experiments show that the proposed method can suppress the pseudo-Gibbs and staircase effect, as well as reduce the noise and preserve the detail better .关键词
图像去噪/剪切波变换/各向异性扩散/多尺度分析/阶梯效应Key words
image denoising/shearlet transform/anisotropic diffusion/multi-scale analysis/staircase effect分类
信息技术与安全科学引用本文复制引用
李垒,任越美..基于剪切波和改进 P-M 扩散的图像去噪[J].计算机与现代化,2015,(5):53-56,4.基金项目
国家自然科学基金资助项目（61231016，61301192，61303123）；河南省科技计划项目 （）
