Properties of shunting inhibitory cellular neural networks for colour image enhancement

Author

Cheung, H.N. ; Bouzerdoum, A. ; Newland, W.

Author_Institution

Centre for Very High Speed Microelectron. Syst., Edith Cowan Univ., Joondalup, WA, Australia

Volume

3

fYear

1999

fDate

1999

Firstpage

1219

Abstract

Investigates the dynamic range compression and contrast enhancement properties of shunting inhibition cellular neural networks (SICNN) used for colour image enhancement. First, the SICNN is formulated according to its structure and then the formulation is expressed in a digital format so that simulations can be performed. The resulting digital SICNN is then applied to a 1D ramp function to study its behaviour as compared to the logarithm of the function. Then, the SICNN is applied to colour images; the results show that, besides performing contrast enhancement, the SICNN also improves the colour constancy of the images as well as their sharpness

Keywords

cellular neural nets; data compression; functions; image coding; image colour analysis; image enhancement; 1D ramp function; colour image enhancement; contrast enhancement; digital format; dynamic range compression; image colour constancy; image sharpness; logarithm; shunting inhibitory cellular neural networks; simulations; Application software; Australia; Cellular neural networks; Color; Electronic mail; Equations; Image enhancement; Microelectronics; Silicon carbide; Video equipment;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-5871-6

Type

conf

DOI

10.1109/ICONIP.1999.844715

Filename

844715