By Topic

Non-causal error diffusion for image halftoning

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Ken-Chung Ho ; Dept. of Electron. Eng., Nat. Lien-Ho Inst. of Technol., Kung-Ching Li, Taiwan

In conventional error diffusion (ED) for image halftoning, a causal filter is commonly used to diffuse the error signal. The causality makes the ED algorithm very simple and easy to implement, but also leaves many undesirable patterns in halftones. In this paper, we proposed to adopt non-causal ED and to model the non-causal ED as the sampling of an appropriate Markov random field. Because of the MRF modeling, the non-causal ED is feasible by using conventional Gibbs sampler. Furthermore, due to the non-causality, the halftones obtained were clearer, without periodic or directional patterns, and with more image details. This can be seen from the experimental results consisting of the gray-level ramp image and nature images.

Published in:

Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on  (Volume:5 )

Date of Conference: