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Two-Phase Image Inpainting: Combine Edge-Fitting with PDE Inpainting

Published online by Cambridge University Press:  03 June 2015

Meiqing Wang ,
Chensi Huang ,
Chao Zeng  and
Choi-Hong Lai
Meiqing Wang*
Affiliation:
College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, Fujian, China
Chensi Huang
Affiliation:
College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, Fujian, China
Chao Zeng
Affiliation:
College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, Fujian, China
Choi-Hong Lai*
Affiliation:
School of Computing and Mathematical Sciences, University of Greenwich, Old Royal Naval College, Park Row, Greenwich, London SE109LS, UK
*
Corresponding author. Email: mqwang@fzu.edu.cn
Email: c.h.lai@gre.ac.uk
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Abstract

The digital image inpainting technology based on partial differential equations (PDEs) has become an intensive research topic over the last few years due to the mature theory and prolific numerical algorithms of PDEs. However, PDE based models are not effective when used to inpaint large missing areas of images, such as that produced by object removal. To overcome this problem, in this paper, a two-phase image inpainting method is proposed. First, some edges which cross the damaged regions are located and the missing parts of these edges are fitted by using the cubic spline interpolation. These fitted edges partition the damaged regions into some smaller damaged regions. Then these smaller regions may be inpainted by using classical PDE models. Experiment results show that the inpainting results by using the proposed method are better than those of BSCB model and TV model.

Keywords

65M1078A48Image inpaintingpartial differential equationsedge fitting
Type
Research Article
Information
Advances in Applied Mathematics and Mechanics , Volume 4 , Issue 6 , December 2012 , pp. 769 - 779
Copyright
Copyright © Global-Science Press 2012

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