Development Of Digital Half toning Techniques For Grayscale Image

Abstract

In this paper a complete overview of digital halftoning is given. This paper concludes all about haftoning from its definition to different methods which is used to achieve it. Also drawback of each method is given in this paper. How a new method is better than previous one it is also explained theoretically and mathematically. Floyd & Steinberg's error diffusion technique is a well-known approach to digital halftoning. Its main drawback is that it is inherently serial. This paper is briefly discussing about the method and a complete process to achieve error diffusion and thus to achieve halftoning. ‘Any model which is designed for the human visual system (HVS) is an important component of many halftoning algorithms. Also by using the iterative direct binary search (DBS) algorithm, we have compared the halftone texture quality which is provided by the four HVS models’. We design filter for the four different HVS model and tried to compare these models. Using the different HVS model we have calculated the MSE and thus got the best HVS model.