Neural network approach to adaptive image enhancement
Ling Guan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
This paper introduces a two-stage adaptive filter for digital image enhancement. This filter has good edge preservation as well as optical enhancement characteristics. The first stage of the filter uses a set of three-layer perceptron neural networks to predict the location of edges. As a result, a piecewise linear model for the image is obtained. With that knowledge, the second stage uses a neural network similar to Hopfield-Tank network to optimally smooth the image to fit the model.