学术
摘 要:
P-M模型是图像平滑中经典的模型，其特点是既能消除孤立噪声点，又能有效保持图像边缘。P-M模型中的扩散函数，其作用是控制平滑力度。本文在研究P-M模型基础上构造了一个新的扩散函数，采用新扩散函数的P-M模型对图像进行平滑，其结果与经典的P-M模型相比，在峰值信噪比相当的情况下，迭代次数大大减少，运行速度得到很大提高。[著者文摘]
文章出处:
《计算机与现代化》-2008年1期,23 -19-20,23页
分 类 号:
文献标识码:
A
文章编号:
1006-2475（2008）01-0019-02
相关文章:
Improved Diffusion Function of P-M Model
LENG Cheng-cai,ZHA0 Feng-qun, DAI Fang,ZHANG Hui （ School of Sciences, Xi＇ an University of Technology, Xi＇ an 710054, China）
Abstract:
P-M model is a classical model for image smoothing, the P-M model which is able to remove the isolated noise as well as preserve the edge effectively. The diffusion function is used for controling the smoothing degree. In this paper, a novel diffusion function is introduced based on researching P-M model. The novel diffusion function is adopted in the P-M model and experiment results show that when the Peak Siganl-to-Noise Ratio（PSNR） decreases the iterative times almost equivalent greatly and increases the process speed prodigiously, compared with the classical P-M model.[著者文摘]
Key words:
PDE; anisotropic diffusion; image smoothing; diffusion function
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