计算机技术与发展2016，Vol.26Issue(11)：90-92,96,4.DOI:10.3969/j.issn.1673-629X.2016.11.020
基于偏微分方程的乘性噪声去噪算法
Algorithm of Removing Multiplicative Noise Based on Partial Differential Equation
摘要
Abstract
Image denoising is the most basic problem in image processing and also the current research focus. In recently years,there are a lot of researches on the multiplicative noise removal by domestic and foreign scholars. Based on AA model,many models for removal of Gamma noise in synthetic aperture radar image are proposed,which can remove the noise effectively,but the common disadvantage is loss of the original image’ s detail and slow computing speed. Aiming at them,introducing weight function,a new variational model based on partial differential equation is proposed to remove the multiplicative noise. An alternating minimization algorithm is introduced to solve the problem for the model. What’ s more,the convergence for the variational problem is illustrated in theroy. Experimental results show that the proposed model has a good denoising effect and restrains the“staircase effect”. Compared with the other models,the algorithm is faster and greatly decreases the computational time.关键词
图像去噪/合成孔径雷达图像/伽马噪声/偏微分方程/交替迭代法Key words
image denoising/synthetic aperture radar image/Gamma noise/Partial Differential Equation ( PDE)/alternating minimization algorithm分类
信息技术与安全科学引用本文复制引用
张化朋,任少美..基于偏微分方程的乘性噪声去噪算法[J].计算机技术与发展,2016,26(11):90-92,96,4.基金项目
国家自然科学基金资助项目(11301281) （11301281）
