Abstract
Inpainting is an image interpolation problem, often referring to interpolations over large-scale missing domains. In this paper, guided by the connectivity principle of human visual perception, we introduce a nonlinear PDE inpainting model based upon curvature-driven diffusions for nontexture images. This third-order PDE model improves the second-order total variation inpainting model introduced earlier by Chan and Shen (SIAM J. Appl. Math., in press, 2001). Computational schemes and digital examples are given.
Original language | English (US) |
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Pages (from-to) | 436-449 |
Number of pages | 14 |
Journal | Journal of Visual Communication and Image Representation |
Volume | 12 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2001 |
Externally published | Yes |
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering