电子测量与仪器学报

周先春,张浩瑀,吴婷,徐新菊,翟靖宇.拟合扩散的自适应图像去噪方法[J].电子测量与仪器学报,2020,34(2):97-106

拟合扩散的自适应图像去噪方法

Adaptive image de noising method based on fitting diffusion

DOI：

中文关键词: 拟合扩散系数各向异性 P-M模型偏微分方程自适应阈值图像去噪

英文关键词:fitting diffusion coefficient anisotropy P-M model partial differential equation adaptive threshold image de-noising

基金项目:国家自然科学基金(11202106,61302188)、江苏省“信息与通信工程”优势学科建设项目、江苏品牌专业建设工程资助项目

作者	单位
周先春	1.南京信息工程大学电子与信息工程学院,2.南京信息工程大学江苏省大气环境与装备技术协同创新中心
张浩瑀	1.南京信息工程大学电子与信息工程学院,2.南京信息工程大学江苏省大气环境与装备技术协同创新中心
吴婷	1.南京信息工程大学电子与信息工程学院,2.南京信息工程大学江苏省大气环境与装备技术协同创新中心
徐新菊	1.南京信息工程大学电子与信息工程学院,2.南京信息工程大学江苏省大气环境与装备技术协同创新中心
翟靖宇	1.南京信息工程大学电子与信息工程学院,2.南京信息工程大学江苏省大气环境与装备技术协同创新中心

Author	Institution
Zhou Xianchun	1.School of Electronic and Information Engineering， Nanjing University of Information Science and Technology,2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology， Nanjing University of Information Science and Technology
Zhang Haoyu	1.School of Electronic and Information Engineering， Nanjing University of Information Science and Technology,2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology， Nanjing University of Information Science and Technology
Wu Ting	1.School of Electronic and Information Engineering， Nanjing University of Information Science and Technology,2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology， Nanjing University of Information Science and Technology
Xu Xinju	1.School of Electronic and Information Engineering， Nanjing University of Information Science and Technology,2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology， Nanjing University of Information Science and Technology
Zhai Jinyu	1.School of Electronic and Information Engineering， Nanjing University of Information Science and Technology,2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology， Nanjing University of Information Science and Technology

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中文摘要:

针对纹理等细节信息丢失和图像边缘退化的问题，提出一种拟合扩散的自适应阈值图像去噪算法。首先，改进了扩散方程中的扩散系数，建立拟合扩散系数，克服因扩散强度过大带来的纹理细节信息丢失和边缘退化的弊端；然后，对阈值函数进行了自适应设计和改进，使其根据图像的最大灰度值和迭代次数自动控制阈值，进一步保留图像边缘和细节特征；最后，对新算法进行分析和仿真。实验结果表明，提出的新算法在图像去噪和保边缘、纹理等细节信息方面效果明显，峰值信噪比有了大幅提高,新算法性能优异,有利于实际应用。

英文摘要:

This paper put forward an adaptive threshold image denoising algorithm based on fitting diffusion to deal with the problem of texture loss and edge degradation. The algorithm will first improve the diffusion coefficient of the diffusion equation, establish fitting diffusion coefficient, avoid filtering incomplete due to the rapid convergence and the problem of image excessive smoothing. Then, the threshold will be designed and improved, and it will be automatically controlled by the maximal image gray value and iterative times, which can keep the image edge and detail features. Last, the designed algorithm will be simulated. The experimental result shows that the proposed algorithm can enhance the performance of de noising and protection of edge and detail information of texture, the peak Signal to Noise Ratio is promoted drastically. The new algorithm has excellent performance and is beneficial to practical application.

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