Year: 2012
Author: Meiqing Wang, Chensi Huang, Chao Zeng, Choi-Hong Lai
Advances in Applied Mathematics and Mechanics, Vol. 4 (2012), Iss. 6 : pp. 769–779
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.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/aamm.12-12S08
Advances in Applied Mathematics and Mechanics, Vol. 4 (2012), Iss. 6 : pp. 769–779
Published online: 2012-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 11
Keywords: Image inpainting partial differential equations edge fitting.
Author Details
-
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
Li, Yibao
Yoon, Sungha
Wang, Jian
Park, Jintae
Kim, Sangkwon
Lee, Chaeyoung
Kim, Hyundong
Kim, Junseok
Gálvez, Akemi
Mathematical Problems in Engineering, Vol. 2021 (2021), Iss. P.1
https://doi.org/10.1155/2021/2414209 [Citations: 2]