Back to articles
Article
Volume: 35 | Article ID: COLOR-195
Image
Printing velocity simulation and estimation
  DOI :  10.2352/EI.2023.35.15.COLOR-195  Published OnlineJanuary 2023
Abstract
Abstract

The engine determines the printing velocity of a printer. Nowadays, some printers incorporate an in-line scanner to scan each page as it is printed and to diagnose print quality defects in real time. However, the velocity of the paper may vary as the page is being printed. When the printer’s printing velocity is variable, and the scanner is still scanning at a constant rate, the scanned printed image will be a stretched and compressed image. This stretched and compressed scanned image is different from the real printed image. It is difficult to detect and analyze the print quality directly from this stretched and compressed scanned image. In this article, we present the printing velocity simulation and estimation. The article is organized into three parts: the first part introduces the print speed simulation tool; the second part introduces the specifically designed test page for printing velocity estimation; the third part introduces the core algorithm: the print velocity estimation algorithm. The printing velocity estimation algorithm contains image processing methods, and it uses the Dynamic Time Warping (DTW) algorithm [1] to accurately and consistently estimate the exact printing speed. In the end, we will show the results of this algorithm. This printing velocity estimation algorithm with the specifically designed test page can accurately estimate the printing velocity. Besides, the printing velocity estimation algorithm also works for complex customer content.

Subject Areas :
Views 57
Downloads 9
 articleview.views 57
 articleview.downloads 9
  Cite this article 

Runzhe Zhang, Yeri Nam, Ki-Youn Lee, Yousun Bang, Mark Shaw, Jan P. Allebach, "Printing velocity simulation and estimationin Electronic Imaging,  2023,  pp 195-1 - 195-8,  https://doi.org/10.2352/EI.2023.35.15.COLOR-195

 Copy citation
  Copyright statement 
Copyright © 2023, Society for Imaging Science and Technology 2023
ei
Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA