A genetic algorithm search for improved halftone masks

Show full item record

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

Files in this item

Files Size Format View
ASMECopyrightPolicies.pdf 62.57Kb PDF View/Open

The following license files are associated with this item:

This item appears in the following Collection(s)

Show full item record

Search RIT DML


Advanced Search

Browse