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arXiv 1703.02487math.AP
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关于图像去噪中出现的交叉扩散系统

On a cross-diffusion system arising in image denosing

Gonzalo Galiano, Julián Velasco

AI总结:

本文研究源自非线性复变量扩散模型的交叉扩散系统,证明稳态问题及演化问题弱解的存在性与适定性,并通过数值模拟比较其与 Perona-Malik 方程在图像去噪中的表现。

摘要:

我们研究了一个交叉扩散问题的推广,该问题源自用于信号和图像去噪的非线性复变量扩散模型。我们在数据问题的温和条件下,证明了带保真项的稳态问题弱解的存在性。随后,我们表明这一结果可转化为演化问题的准稳态近似的适定性,并在更严格的假设下证明了后者弱解的存在性。最后,我们进行了一些图像去噪的数值模拟,比较了交叉扩散模型与其对应的标量 Perona-Malik 方程的性能。

英文摘要:

We study a generalization of a cross-diffusion problem deduced from a nonlinear complex-variable diffusion model for signal and image denoising. We prove the existence of weak solutions of the time-independent problem with fidelity terms under mild conditions on the data problem. Then, we show that this translates on the well-posedness of a quasi-steady state approximation of the evolution problem, and also prove the existence of weak solutions of the latter under more restrictive hypothesis. We finally perform some numerical simulations for image denoising, comparing the performance of the cross-diffusion model and its corresponding scalar Perona-Malik equation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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