Elastic bending total variation model for image inpainting with operator splitting method

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Caixia Nan , Qian Zhang
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引用次数: 0

Abstract

The elastic bending energy model is commonly used to describe the shape transformation of biological lipid vesicles, making it a classical phase field model. In this paper, by coupling the elastic bending energy with the total variation (TV) regularization, we develop an elastic bending-TV model for image inpainting. By solving the energy minimization problem of this model, we obtain the results for image processing. We adopt an operator splitting method for the model and the numerical scheme involves the introduction of two vector- and scalar-valued functions to reconstruct this functional. The energy minimization problem is transformed into finding the steady state solution of artificial time-dependent PDE systems. At each fractional step, we can find either a closed-form solution or being solved by an efficient algorithm, which is a very robust and stable algorithm. Experimental results validate the superiority of our model and the effectiveness of the scheme for image inpainting.
用算子分割法绘制图像的弹性弯曲总变化模型
弹性弯曲能模型常用于描述生物脂质囊泡的形状变化,是一种经典的相场模型。在本文中,通过将弹性弯曲能与总变异(TV)正则化耦合,我们开发了一种用于图像着色的弹性弯曲-TV 模型。通过求解该模型的能量最小化问题,我们获得了图像处理的结果。我们为该模型采用了算子分割法,数值方案包括引入两个矢量和标量值函数来重构该函数。能量最小化问题被转化为寻找人工时变 PDE 系统的稳态解。在每个分步中,我们都能找到闭式解,或通过高效算法求解,这是一种非常稳健和稳定的算法。实验结果验证了我们模型的优越性以及该方案在图像内绘中的有效性。
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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来源期刊
Computers & Mathematics with Applications
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).
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