Skip to main content

Total Least Squares Regression in Neugebauer Model Parameter Estimation for Dot-on-Dot Halftone Screens

Buy Article:

$20.00 plus tax (Refund Policy)

Abstract:

Parameter estimation is crucial to the accuracy of Neugebauer model in characterizing digital halftone printers. In this paper, a novel total least square (TLS) regression technique is proposed for the model parameter estimation problem for dot-on-dot screen printers. Compared to the traditional least square (LS) approach, the TLS method is physically more appropriate because it accounts for errors in both the measured reflectance of the selected primaries and the modeled reflectance. At the same time, TLS provides increased mathematical flexibility in fitting the Neugebauer model to the experiment data. Both the TLS and LS techniques are tested on a Xerox color printer with a dot-on-dot halftone screen. Compared to the LS based techniques, the TLS methods yield a more accurate model for the printer.

Document Type: Research Article

Publication date: January 1, 1998

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • ingentaconnect is not responsible for the content or availability of external websites
ist/nipdf/1998/00001998/00000001/art00069
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more