DocumentCode :
1576801
Title :
A multi-scale image inpainting algorithm based on GMRF model
Author :
Wang, Rui ; Gu, Dongbing ; Liu, Guangwen ; Sun, Junxi
Author_Institution :
Sch. of Electron. & Inf. Eng., Changchun Univ. of Sci. & Technol., Changchun, China
fYear :
2009
Firstpage :
1844
Lastpage :
1848
Abstract :
A novel approach to image inpainting is introduced in this paper. The novelty lies in the combination of the MRF inpainting technique and a multiscale information fusion mechanism. This combination uses both local information via the MRF technique and global information via the multi-scale mechanism to improve the image inpainting quality. The proposed algorithm consists of three steps. In the first step, the image to be inpainted is decomposed into multiple levels via a multi-scale decomposition. In the second step, the image of each level is inpainted based on the MRF model. Finally, the multi-scale inpainting results of all levels with different scales are fused. The experimental results show that the proposal inpainting algorithm achieves fairly good results.
Keywords :
Gaussian processes; Markov processes; image fusion; GMRF model; Gaussian Markov random field model; image inpainting quality; multiscale image decomposition; multiscale image inpainting algorithm; multiscale information fusion mechanism; Biomimetics; Computer graphics; Filling; Image restoration; Markov random fields; Pixel; Probability density function; Proposals; Robots; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
Type :
conf
DOI :
10.1109/ROBIO.2009.5420444
Filename :
5420444
Link To Document :
بازگشت