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Image denoising by nonlinear nonlocal diffusion equations

机译:非线性非局部扩散方程的图像去噪

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In this paper, we propose and study a nonlinear nonlocal diffusion equation of the Perona-Malik type for the removal of Gaussian noise in images. Based on the fixed-point theorem, we prove the unique solvability of the equation. We also show that solutions of the nonlocal equation converge to the solution of the local spatially regularized Perona-Malik equation if the kernel is rescaled appropriately. The new equation inherits the merit of the nonlocal method that restores details and textures of noisy images but avoids speckles and artifacts in homogeneous regions. Comparisons with other nonlocal methods for image denoising are presented. (C) 2021 Elsevier B.V. All rights reserved.
机译:本文提出并研究了一个用于去除图像中高斯噪声的非线性非局部Perona-Malik扩散方程。基于不动点定理,我们证明了方程的唯一可解性。我们还表明,如果核被适当地重新调整,非局部方程的解收敛于局部空间正则化Perona-Malik方程的解。新方程继承了非局部方法的优点,即恢复噪声图像的细节和纹理,但避免了均匀区域中的斑点和伪影。与其他非局部图像去噪方法进行了比较。(c)2021爱思唯尔B.V.保留所有权利。

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