Neural network adaptive digital image screen halftoning (DISH) based on wavelet transform preprocessing

Artificial neural network (ANN) can be used to process the digital image screen halftoning (DISH), designed to be adaptive to the local variation of image intensity based on the wavelet transform (WT) preprocessing of the local gradient at each pixel. Our preliminary digital simulation results have shown an improved multiresolution visual effect of the bi-level representation of a gray-scale image. An interesting device concept is to build a fast "WT chip" of order (N) with a smart "neurochip" for DISH applications, in order to achieve an nonuniformly enhanced dot matrix printing.