Research Repository

An interactive image inpainting algorithm based on Markov Random Field

Sun, Junxi and Defang Hao, and Gu, Dongbing and Guangwen Liu, and Hua Cai, (2009) An interactive image inpainting algorithm based on Markov Random Field. In: 2009 International Conference on Mechatronics and Automation (ICMA), 2009-08-09 - 2009-08-12.

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A novel approach to image inpainting is introduced in this paper. The novelty lies in the combination of pixel-diffusing technique and a user interaction mechanism. This combination takes both local geometrical information via the pixel-diffusing technique and global structure information via the user interaction to improve the image inpainting quality. The user interaction mechanism manually specifies important missing structure information by drawing some curves from the known to the unknown regions and synthesizes image structure along these user-specified curves in the unknown region using structure information selected around the curves in the known region. The pixel-diffusing technique builds on the Markov Random Field (MRF) model to exploit the image contextual knowledge. The interactive inpainting algorithm fills in the remaining unknown regions based on the MRF model. The experiment results show this interactive algorithm is reasonable and efficient. ©2009 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Uncontrolled Keywords: image inpainting; belief propagation algorithm; MRF model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 17 Sep 2013 12:10
Last Modified: 15 Jan 2022 00:44

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