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基于PDE的图像降噪方法

Image denoising methods based on PDE
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摘要 回顾了3种传统的PDE图像降噪方法,即φ函数、基于散度的PDE和基于拉普拉斯算子的扩散PDE;指出了可将扩散方程与自由薛定锷方程结合,形成新的基于复扩散的图像降噪处理方法。 This paper reviewed three image denoising methods based on PDE such as φ - function, divergence- based PDE and diffusion PDE based on oriented Laplacian operator,and points out that new image denoising method based on complex diffusion can be formed by combining the diffusion equation with free Schrodinger equation.
出处 《重庆工商大学学报(自然科学版)》 2007年第3期249-253,共5页 Journal of Chongqing Technology and Business University:Natural Science Edition
基金 国家自然科学基金项目(60472061) 福建省自然科学基金计划资助项目(2006J0299) 福建省教育厅项目(JB06120)
关键词 φ函数 拉普拉斯算子 PDE 复扩散 φ- function Laplacian operator PDE comlex diffusion
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参考文献12

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