Least-squares model-based video halftoning

Dennis P. Hilgenberg; Thomas J. Flohr; Clayton Brian Atkins; Jan P. Allebach; Charles A. Bouman

doi:10.1117/12.172672

1 May 1994 Least-squares model-based video halftoning

Dennis P. Hilgenberg, Thomas J. Flohr, Clayton Brian Atkins, Jan P. Allebach, Charles A. Bouman

Proceedings Volume 2179, Human Vision, Visual Processing, and Digital Display V; (1994) https://doi.org/10.1117/12.172672
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

A technique for halftoning video sequences is presented. First, an error metric is designed, incorporating psychophysical spatio-temporal contrast sensitivity data for the human visual system. An efficient strategy for producing halftone sequences that minimize the error is then developed. The technique is compared with video halftoning algorithms that do not consider the temporal aspect of the human visual system.

Citation Download Citation

Dennis P. Hilgenberg, Thomas J. Flohr, Clayton Brian Atkins, Jan P. Allebach, and Charles A. Bouman "Least-squares model-based video halftoning", Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); https://doi.org/10.1117/12.172672

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available