舰船电子工程2019，Vol.39Issue(6)：110-114,163,6.DOI:10.3969/j.issn.1672-9730.2019.06.028
基于多物理场的图像处理中的点扩散函数∗
Point Diffusion Function in Image Processing Based on Multi-physical Fields
摘要
Abstract
The P-M model is a classical image processing model, diffusion process of which depends on the local characteristics of the image. Due to the influence of noise,Gaussian filter is usually used to preprocess the image. A multi-physical field image processing model is proposed in this paper,which endows the image with some physical properties. The diffusion function is constructed by using the local physical characteristics of the image,and the characteristics of the diffusion function are analyzed. Experimental results show that the diffusion function has strong edges preserving ability and fast convergence speed,and the time used is greatly reduced when the peak-signal-noise-rate(PSNR)and edge preserve index(EPI)are comparable to P-M. The model is an adaptive diffusion process to avoid the prior estimation before filtering.关键词
P-M模型/多物理场/峰值信噪比/边缘保持指数/自适应Key words
P-M model/multi-physical field/PSNR/EPI/adaptive分类
信息技术与安全科学引用本文复制引用
孙明明,岳军..基于多物理场的图像处理中的点扩散函数∗[J].舰船电子工程,2019,39(6):110-114,163,6.基金项目
国家自然科学基金项目(编号:61271015)资助. （编号:61271015）
