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An improved image denoising model based on the directed diffusion equation

机译:基于有向扩散方程的改进图像去噪模型

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摘要

By substituting an anisotropic diffusion operator for the isotropic Laplace operator in the directed diffusion equation, adding two different coefficients in the two diffusion terms, and choosing the image denoised by soft wavelet shrinkage as the initial approximate image, an improved directed diffusion equation model is proposed. Experiments show that the new model can solve the problem that edges and details will be rapidly blurred during the diffusion process in the directed diffusion equation.
机译:通过在各向异性扩散方程中用各向异性扩散算子代替各向同性拉普拉斯算子,在两个扩散项中相加两个不同的系数,并选择由软小波收缩去噪的图像作为初始近似图像,提出了一种改进的有向扩散方程模型。 。实验表明,新模型可以解决定向扩散方程在扩散过程中边缘和细节迅速模糊的问题。

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