具有双边总变化的增强渗透模型，可有效去除阴影

IF 2.9 2区数学 Q1 MATHEMATICS, APPLIED

Computers & Mathematics with Applications Pub Date : 2024-08-29 DOI:10.1016/j.camwa.2024.08.014

Amine Laghrib , Fakhr-Eddine Limami , Abdeljalil Nachaoui

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引用次数: 0

摘要

本研究论文介绍了一种用于去除阴影图像的创新技术。该方法结合了双边总变异（TV）算子，重新定义了当代渗透模型。这种整合可以利用稳健的各向异性扩散，从而改善图像修复效果。论文还概述了双边 TV 的新数学推导以及与非线性各向异性传输项的结合。实验结果证明了各向异性渗透模型的有效性，与当前最先进的技术相比，该模型在定性和定量方面都表现出色。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhanced osmosis model with bilateral total variation for effective shadow removal

This research paper presents an innovative technique for shadow images removal. The method involves redefining a contemporary osmosis model by incorporating bilateral total variation (TV) operators. This integration allows to take advantage of robust anisotropic diffusion, resulting in improved image restoration. The paper also outlines new mathematical derivation of the bilateral TV and a combination with nonlinear anisotropic transport term. The experimental results substantiate the effectiveness of the anisotropic osmosis model, showcasing its superior qualitative and quantitative performance when compared to current state-of-the-art techniques.

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来源期刊

Computers & Mathematics with Applications 工程技术-计算机：跨学科应用

CiteScore

5.10

自引率

10.30%

发文量

396

审稿时长

9.9 weeks

期刊介绍： Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).