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A Model of Image Denoising Based on Partial Differential Equations

机译:基于局部微分方程的图像去噪模型

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Based on the isotropic diffusion denoising model and the total variation (TV) denoising model, an image denoising model, which is constructed by the partial differential equations assigned a weight function is proposed. This model can improve "staircase effect" and "block effect" compared to the isotropic diffusion denoising model and the total variation (TV) denoising model, respectively. Numerical experiments show that the model is able to remove noise effectively while preserving texture features and edge information well, so that the quality of the denoised image is enhanced.
机译:基于各向同性扩散的去噪模型和总变化(TV)去噪模型,提出了由分配重量函数的部分微分方程构成的图像去噪模型。与各向同性扩散去噪模型和总变化(TV)去噪模型相比,该模型可以改善“楼梯效应”和“块效应”。数值实验表明,该模型能够在保持纹理特征和边缘信息的同时有效地消除噪声,从而提高了去噪图像的质量。

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