图像去噪中非线性偏微分方程的参数辨识

Q3 Mathematics
A. E. Mourabit
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引用次数: 0

摘要

摘要在这项工作中,在PDE约束优化问题的背景下,我们对[1]中提出的扩散方程中的一个参数的识别感兴趣。我们建议通过梯度下降算法自动识别该参数,以提高噪声图像的恢复能力。最后,我们给出了数值结果来说明该参数的自动选择性能,并将我们的数值结果与其他图像去噪方法或算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameters identification for a nonlinear partial differential equation in image denoising
Abstract In this work and in the context of PDE constrained optimization problems, we are interested in identification of a parameter in the diffusion equation proposed in [1]. We propose to identify this parameter automatically by a gradient descent algorithm to improve the restoration of a noisy image. Finally, we give numerical results to illustrate the performance of the automatic selection of this parameter and compare our numerical results with other image denoising approaches or algorithms.
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来源期刊
Moroccan Journal of Pure and Applied Analysis
Moroccan Journal of Pure and Applied Analysis Mathematics-Numerical Analysis
CiteScore
1.60
自引率
0.00%
发文量
27
审稿时长
8 weeks
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