基于复扩散方程的图像滤波方法

Lai Lianyou, X. Weijian
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引用次数: 0

摘要

滤波后的图像边缘通常是模糊的。针对这一问题,提出了一种基于复扩散方程的图像滤波方法。复杂扩散方程有实部和虚部,它们对图像的影响不同。首先,利用复扩散方程的实部对图像进行滤波。然后,利用复扩散方程的虚部检测图像边缘;最后,利用检测到的边缘恢复滤波图像的边缘,生成最终的滤波图像。实验结果表明,该方法能较好地保留图像的边缘特征,滤波后的图像具有较高的峰值信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Filtering Method Using Complex Diffusion Equation
The edges of an image filtered are blurred usually. An image filtering method using complex diffusion equation is proposed for solving this problem. The complex diffusion equation has real and imaginary parts which have different effects on images. Firstly, the image is filtered by the real part of the complex diffusion equation. Then, the edges of the image are detected by the imaginary part of the complex diffusion equation. Finally, the edges of the filtered image are restored by using the edges detected to generate the final filtered image. Experimental results show that the method proposed in this paper can better preserve the image edges features and has higher peak signal-to-noise ratio for the image filtered.
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