title: Clustered-dot halftoning with direct binary search.
abstract: 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 clustered-dot texture. An analysis of the cost metric and its influence on the texture quality is presented, which is followed by a modification to the cost metric to reduce computational cost and to make it more suitable for screen design.
authors.affiliation: Graphic Era University, Dehradun 248002, India. pgoyal@alumni.purdue.edu
authors.forename: Puneet
authors.initials: P
authors.lastname: Goyal
authors.forename: Madhur
authors.initials: M
authors.lastname: Gupta
authors.forename: Carl
authors.initials: C
authors.lastname: Staelin
authors.forename: Mani
authors.initials: M
authors.lastname: Fischer
authors.forename: Omri
authors.initials: O
authors.lastname: Shacham
authors.forename: Jan P
authors.initials: JP
authors.lastname: Allebach