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