Image inpainting methods by using CELLULAR neural networks

Alexandra Gacsádi, Péter Szolgay

Research output: Contribution to conferencePaper

8 Citations (Scopus)

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.

Original languageEnglish
Pages198-201
Number of pages4
Publication statusPublished - Jan 1 2005
Event9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA - Hsinchu, Taiwan, Province of China
Duration: May 28 2005May 30 2005

Other

Other9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA
CountryTaiwan, Province of China
CityHsinchu
Period5/28/055/30/05

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ASJC Scopus subject areas

  • Software

Cite this

Gacsádi, A., & Szolgay, P. (2005). Image inpainting methods by using CELLULAR neural networks. 198-201. Paper presented at 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA, Hsinchu, Taiwan, Province of China.