修补
二进制数
卡恩-希利尔德方程
图像(数学)
比例(比率)
填写
边界(拓扑)
分叉
过程(计算)
特征(语言学)
二值图像
数学
人工智能
计算机科学
算法
计算机视觉
图像处理
数学分析
偏微分方程
非线性系统
物理
算术
量子力学
语言学
哲学
操作系统
作者
Andrea L. Bertozzi,Selim Esedolu,Alan Gillette
出处
期刊:Multiscale Modeling & Simulation
[Society for Industrial and Applied Mathematics]
日期:2007-01-01
卷期号:6 (3): 913-936
被引量:117
摘要
Image inpainting is the process of filling in missing parts of damaged images based on information gleaned from surrounding areas. We consider a model for inpainting binary images using a modified Cahn–Hilliard equation. We prove for the steady state problem that the isophote directions are matched at the boundary of inpainting regions. Our model has two scales, the diffuse interface scale, $\varepsilon$, on which it can accomplish topological transitions, and the feature scale of the image. We show via simulations that a dynamic two-step method involving the diffuse interface scale allows us to connect regions across larger inpainting domains. For the model problem of stripe inpainting, we show that this issue is related to a bifurcation structure with respect to the scale $\varepsilon$.
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