DocumentCode :
1945422
Title :
Digital Image Inpainting based on Markov Random Field
Author :
Yasuda, M. ; Ohkubo, J. ; Tanaka, K.
Author_Institution :
Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
747
Lastpage :
752
Abstract :
Digital image inpainting means reconstruction of small damaged portions of images. In the present paper, we propose a novel algorithm for digital image inpainting based on the Markov random field model. The proposed algorithm requires only specifying damaged regions to be inpainted, and works automatically, i.e., it does not require any user intervention. In addition, our method is very simple to be implemented and fast
Keywords :
Markov processes; image reconstruction; Markov random field; digital image inpainting; image reconstruction; user intervention; Belief propagation; Digital filters; Digital images; Image processing; Image reconstruction; Markov random fields; Nearest neighbor searches; Pixel; Simulated annealing; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631558
Filename :
1631558
Link To Document :
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