Properties of shunting inhibitory cellular neural networks for colour image enhancement

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.