Model-Based Memory-Efficient Algorithm for Compensation of Toner Overdevelopment in Electrophotographic Printers

$20.00 plus tax (Refund Policy)

Buy Article:

Abstract:

Text and line attributes are an integral part of print quality. In this paper, we study artifacts introduced by the electrophotographic process that make text and thin lines with high colorant content appear blurred. We characterize the amount of blurriness of a specific print engine by measuring edge transition widths, and correlate our results with previous psychophysical studies regarding perception of blur to determine the acceptable limits of the printer's performance. We propose a memory efficient algorithm that requires minimal modifications to the printer engine architecture to attain those limits. We demonstrate that the proposed solution outperforms the currently implemented solution in terms of color and texture preservation.

Document Type: Research Article

Publication date: January 1, 2008

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

Tools

Favourites

Share Content

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