A genetic algorithm search for improved halftone masks

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Title: A genetic algorithm search for improved halftone masks
Author: Anderson, Peter; Arney, Jonathan; Inverso, Samuel; Kunkle, Daniel; Lebo, Timothy; Merrigan, Chadd
Abstract: We present a genetic algorithm that automatically generates halftone masks optimized for use in specific printing systems. The search is guided by a single figure of merit based on a detailed model of the printing process and the human visual system. Our experiments show that genetic algorithms are effective in finding improved halftone masks and that two methods of reducing the search space to particular subsets of possible halftone masks greatly enhance the performance of the GA.
Description: "A Genetic algorithm search for improved halftone masks," Proceedings of Artificial Neural Networks in Engineering (ANNIE '03). American Society of Mechanical Engineers (ASME). Held at the Marriott Pavilion Hotel: St. Louis, Missouri: 2-5 November 2003. Article is accessible on author's home page: http://www.cs.rit.edu/~pga/ga_halftone.pdf
Record URI: http://hdl.handle.net/1850/3061
Date: 2003-11-02

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