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Image Filtering Method Using Complex Diffusion Equation

机译:复扩散方程的图像滤波方法

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摘要

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.
机译:通常,过滤后的图像边缘会模糊。为了解决这个问题,提出了一种使用复数扩散方程的图像滤波方法。复数扩散方程具有实部和虚部,它们对图像的影响不同。首先,通过复数扩散方程的实部对图像进行滤波。然后,通过复数扩散方程的虚部检测图像的边缘。最终,通过使用检测到的边缘来产生最终的滤波图像来恢复滤波图像的边缘。实验结果表明,本文提出的方法可以更好地保留图像边缘特征,并具有较高的峰值信噪比。

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