DocumentCode :
981396
Title :
Strong-continuation, contrast-invariant inpainting with a third-order optimal PDE
Author :
Bertalmio, Marcelo
Author_Institution :
Dept. de Tecnologia, Univ. Pompeu Fabra, Barcelona, Spain
Volume :
15
Issue :
7
fYear :
2006
fDate :
7/1/2006 12:00:00 AM
Firstpage :
1934
Lastpage :
1938
Abstract :
PDE-based image inpainting has become a very active area of research after the pioneering works of Masnou and Morel, Bertalmı´o et al., and Ballester et al. In this paper, we take a different approach, inspired by the excellent work of Caselles et al. We view the inpainting problem as a particular case of image interpolation in which we intend to propagate level lines. Expressing this in terms of local neighborhoods and using a Taylor expansion we derive a third-order PDE that performs inpainting. This PDE is optimal in the sense that it is the most accurate third-order PDE which can ensure continuation of level lines. The continuation is strong, allowing the restoration of thin structures occluded by a wide gap. The result is also contrast invariant. This is a novel PDE, which, in both its accuracy and contrast invariance, outperforms the approaches cited above.
Keywords :
image restoration; interpolation; partial differential equations; PDE-based image inpainting; Taylor expansion; contrast invariance; image interpolation; local neighborhoods; partial differential equations; strong-continuation contrast-invariant inpainting; thin structure restoration; third-order optimal PDE; Art; Geometry; Helium; Image processing; Image restoration; Image segmentation; Interpolation; Layout; Partial differential equations; Taylor series; Image restoration; inpainting; partial differential equations (PDEs); Algorithms; Artifacts; Computer Graphics; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Statistical; Numerical Analysis, Computer-Assisted; Paintings; Signal Processing, Computer-Assisted; Stochastic Processes;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2006.877067
Filename :
1643700
Link To Document :
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