Research > Faculty Projects

Optimization and Quality Assessment of Quantized Dither

Principal Investigator
Maya Gupta

Sponsor(s)
University of Washington, Office of Technolgoy
Transfer, Technology Gap Innovation Fund (TGIF)

Award Period
07/01/2005 - 12/30/2019

Abstract
We have developed a method for converting full-color documents to four-color documents for printing. We propose to optimize and fully assess the quality of this halftoning method, termed quantized Dither (QD). QD would be appropriate for commercial printing, where speed and printing robustness are important, and where dither is being used today. We have shown that QD maintains the smoothness of dither while significantly sharpening edges and enhancing color contrast, resulting in a potentially much higher quality image while retaining parallelizability (and thus speed) of method. This grant would cover research into optimizing QD, and into theoretically and experimentally comparing the quality of QD with halftoning alternatives such as dither and error diffusion.

Updates or corrections to this page should be sent to gheaton@u.washington.edu.