OPTIMIZED ERROR-DIFFUSION WITH OUTPUT DEPENDENT FEEDBACK
Principal Investigator: Dr. Daniel L. Lau

PARTIAL ABSTRACT: In this project, we intend to measure the relationships, for a given device, between the hysteresis constant of error-diffusion with output-dependent feedback and the resulting tone reproduction and detail rendition of the printed image.


FREQUENCY ADAPTIVE HYSTERESIS
Principal Investigator: Dr. Daniel L. Lau

PARTIAL ABSTRACT: In this project, we will study the introduction of an adaptive hysteresis parameter which varies according to the local frequency content within the image, leading to a halftoned image with better edge details.


GREEN-NOISE MASKS
Principal Investigator: Dr. Daniel L. Lau

PARTIAL ABSTRACT: In this project, we will establish optimality criteria for the construction of green-noise masks for a specific printing device.


COLOR HALFTONING WITH GREEN-NOISE
Principal Investigator: Dr. Daniel L. Lau

PARTIAL ABSTRACT: In this project, we will study the color gamuts achieved by varying the parameters of this new diffusion technique.





Dr. Daniel Leo Lau
Department of Electrical and Computer Engineering
University of Kentucky
453 Anderson Hall
Lexington, KY 40506-0046, USA
(859) 257-2300 x273
dllau@engr.uky.edu

last edited on 11/30/01