物理学报Issue(2)：1-10,10.DOI:10.7498/aps.64.024205
基于Demons算法改进的图像去噪模型研究∗
Image denoising mo del based on the improved Demons algorithm
摘要
Abstract
According to image registration, we build a new Demons model of image denoising, in which the diffusion access is regarded as image registration. The experimental results indicate that the performance of the model is better than that of the Perona-Malik model: the ill-condition of the model is removed. It is not enough to describe local characteristics only by using the gradient information in the access of image denoising, so a level set curvature which is the driving force of image structure controlling is introduced into the denoising model. Therefore we propose a new model of image denoising based on two driving forces of gradient and curvature. The simulation results show that the two improved models can both suppress noise effectively, their definitions are enhanced obviously, the performance of image denoising model of two driving forces is more greatly improved.关键词
Demons去噪/Perona-Malik模型/图像配准/水平集曲率Key words
Demons denoising/Perona-Malik model/image registration/level set curvature引用本文复制引用
周先春,汪美玲,周林锋,吴琴..基于Demons算法改进的图像去噪模型研究∗[J].物理学报,2015,(2):1-10,10.基金项目
国家自然科学基金(批准号:11202106,61302188)、教育部高等学校博士学科点专项科研基金(批准号:20123228120005)、江苏省“信息与通信工程”优势学科建设项目、江苏省自然科学基金(批准号：BK20131005)和江苏省高校自然科学研究项目(批准号:13KJB170016)资助的课题.@@@@* Project supported by the National Natural Science Foundation of China (Grant Nos.11202106,61302188), the Specialized Research Fund for the Doctoral Program of Higher Education, China (Grant No.20123228120005), the Jiangsu Information and Communication Engineering Preponderant Discipline Platform, China, the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20131005), and the Natural Sciences Fundation from the Universities of Jiangsu Province of China (Grant No.13KJB170016) （批准号:11202106,61302188）
