DocumentCode :
2560927
Title :
Image inpainting methods by using cellular neural networks
Author :
Gacsadi, Alexandru ; Szolgay, Peter
Author_Institution :
Dept. of Electron., Oradea Univ., Romania
fYear :
2005
fDate :
28-30 May 2005
Firstpage :
198
Lastpage :
201
Abstract :
Some CNN methods are presented that can be used for the reconstruction of damaged or partially known images. The proposed methods take the possibility of direct implementation on an existing CNN chip into account, in a single step, by using 3*3 dimensional linear reaction templates. Due to complete parallel processing, computational time reduction is achieved. Efficiency of these methods can be increased by combining them with nonlinear template that ensures the growth of the local properties spreading area along with regional ones.
Keywords :
cellular neural nets; image reconstruction; parallel processing; cellular neural networks; damaged images; dimensional linear reaction templates; image inpainting method; image reconstruction; parallel processing; Cellular neural networks; Concurrent computing; Cost function; Gray-scale; Image processing; Image reconstruction; Image restoration; Laboratories; Parallel processing; Partial differential equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
Print_ISBN :
0-7803-9185-3
Type :
conf
DOI :
10.1109/CNNA.2005.1543195
Filename :
1543195
Link To Document :
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