A tracking-based general framework to image halftoning

Abstract

existing approaches to digital halftoning of image are based primarily on thresholding. We propose a general framework for image halftoning where some function of the output halftoning tracks another function of the input graytone, This approach is shown to unify most existing algorithms and to provide useful insights. Further, the new interpretation allows us to remedy problems in existing algorithms such as the error diffusion, and  subsequently to achieve halftones having superior quality. The proposed methods very general nature is an advantage since it offers a wide choice of three filters and a update rule all interesting product of this framework is that equally good, or better, halftones are possible to be obtained by thresholding a noise process instead of the image itself.