Share Email Print

Proceedings Paper

Ink-constrained halftoning with application to QR codes
Author(s): Marzieh Bayeh; Erin Compaan; Theodore Lindsey; Nathan Orlow; Stephen Melczer; Zachary Voller
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper examines adding visually significant, human recognizable data into QR codes without affecting their machine readability by utilizing known methods in image processing. Each module of a given QR code is broken down into pixels, which are halftoned in such a way as to keep the QR code structure while revealing aspects of the secondary image to the human eye. The loss of information associated to this procedure is discussed, and entropy values are calculated for examples given in the paper. Numerous examples of QR codes with embedded images are included.

Paper Details

Date Published: 3 February 2014
PDF: 8 pages
Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150U (3 February 2014); doi: 10.1117/12.2044217
Show Author Affiliations
Marzieh Bayeh, Univ. of Regina (Canada)
Erin Compaan, Univ. of Illinois at Urbana-Champaign (United States)
Theodore Lindsey, Univ. of Kansas (United States)
Nathan Orlow, Univ. of Illinois at Urbana-Champaign (United States)
Stephen Melczer, Simon Fraser Univ. (Canada)
Zachary Voller, Iowa State Univ. (United States)

Published in SPIE Proceedings Vol. 9015:
Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?