Title :
A Cellular Neural Network for Zooming Digital Colour Images
Author :
Battiato, S. ; Giuffrida, E.U. ; Rundo, F.
Author_Institution :
Catania Univ., Catania
Abstract :
In this paper we propose a novel zooming algorithm based on the use of cellular neural networks (CNNs). The CNNs have been used successfully in many areas of image processing showing good performance with high speed computation capability. In this work, we propose a CNN applied to digital colour image enlargement. Moreover, an adaptive gradient-driven enhancement process is used to improve the quality of the enlarged image generated by the CNN processing. The reported experimental results show the effectiveness of the proposed algorithm.
Keywords :
cellular neural nets; image colour analysis; image enhancement; adaptive gradient-driven enhancement process; cellular neural network; digital colour image enlargement; digital colour images; high speed computation capability; image processing; zooming algorithm; Analog computers; Cellular neural networks; Cloning; Digital cameras; Digital images; High performance computing; Image generation; Image processing; Stability; Very large scale integration;
Conference_Titel :
Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1458-1
Electronic_ISBN :
978-1-4244-1459-8
DOI :
10.1109/ICCE.2008.4587924