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Clustered-Dot Halftoning With Direct Binary Search

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6 Author(s)
Goyal, P. ; Graphic Era Univ., Dehradun, India ; Gupta, M. ; Staelin, C. ; Fischer, M.
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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.

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Image Processing, IEEE Transactions on  (Volume:22 ,  Issue: 2 )