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.

Date of creation, presentation, or exhibit



Proceedings of Artificial Neural Networks in Engineering (ANNIE '03) 2003 "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: We gratefully acknowledge the finanical support of Hewlett-Packard for this research.Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)


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