# Clustered-Dot Halftoning With Direct Binary Search

@article{Goyal2013ClusteredDotHW, title={Clustered-Dot Halftoning With Direct Binary Search}, author={Puneet Goyal and Madhur Gupta and Carl Staelin and Mani Fischer and Omri Shacham and Jan P. Allebach}, journal={IEEE Transactions on Image Processing}, year={2013}, volume={22}, pages={473-487} }

- Published 2013 in IEEE Transactions on Image Processing
DOI:10.1109/TIP.2012.2218821

In this paper, we present a new algorithm for aperiodic clustered-dot halftoning based on direct binary search (DBS). The DBS optimization framework has been modified for designing clustered-dot texture, by using filters with different sizes in the initialization and update steps of the algorithm. Following an intuitive explanation of how the clustered-dot texture results from this modified framework, we derive a closed-form cost metric which, when minimized, equivalently generates stochastic… CONTINUE READING