DocumentCode :
3264950
Title :
A Lattice-Boltzmann method for image inpainting
Author :
Chen, Yu
Author_Institution :
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
Volume :
3
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
1222
Lastpage :
1225
Abstract :
To recover the lost information of the image, an Lattice-Boltzmann method based image inpainting algorithm was proposed in this paper. The examination results show that the our method can recover the apple image effectively, and has higher PNSR than the algorithm based on the curvature-driven diffusions(CDD). More over, the parallism of the LBMII can be used to build the high speed parallel image processing system.
Keywords :
image processing; image restoration; lattice Boltzmann methods; partial differential equations; LBMII; apple image; curvature driven diffusions; high speed parallel image processing; image information recovery; image inpainting; lattice-Boltzmann method; partial differential equations; Anisotropic magnetoresistance; Automata; Equations; Image processing; Lattice Boltzmann methods; Mathematical model; Partial differential equations; Lattice-Boltzmann method; ccurvaure driven diffusions; image inpainting; partial differential equation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647241
Filename :
5647241
Link To Document :
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