Delta-Sigma Analysis of Image Halftoning by Error Diffusion
Thomas D. Kite
Laboratory for Vision Systems
Dept. of Electrical and Computer Engineering
The University of Texas at Austin
Wednesday, April 30th, ENS 602, 10:00 - 11:00 AM
The error diffusion algorithm is an efficient way of converting grayscale images into high quality halftones. However, its operation is not well understood. Recent developments have shown that error diffusion is a non-separable two-dimensional extension of delta- sigma (D-S) modulation. D-S analysis techniques explain features in halftones produced by classical error diffusion schemes, and allow the optimization of these schemes for high visual quality.
This is an open Ph.D. qualifying examination.
A list of digital signal processing seminars is available at from the ECE department Web pages under "Seminars". The Web address for the digital signal processing seminars is http://www.ece.utexas.edu/~bevans/dsp_seminars.html.