Back to articles
Articles
Volume: 33 | Article ID: art00006
Image
Banding defect detection and image quality classification
  DOI :  10.2352/ISSN.2470-1173.2021.16.COLOR-245  Published OnlineJanuary 2021
Abstract

Banding has been regarded as one of the most severe defects affecting the overall image quality in the printing industry. There has been a lot of research on it, but most of them focused on uniform pages or specific test images. Aiming at detecting banding on customer’s content pages, this paper proposes a banding processing pipeline that can automatically detect banding, identify periodic and isolated banding, and estimate the periodic interval. In addition, based on the detected banding characteristics, the pipeline predicts the overall quality of printed customer’s content pages and obtains predictions similar to human perceptual assessment.

Subject Areas :
Views 42
Downloads 9
 articleview.views 42
 articleview.downloads 9
  Cite this article 

Yi Yang, Eric Maggard, Yousun Bang, Minki Cho, Jan P. Allebach, "Banding defect detection and image quality classificationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXVI: Displaying, Processing, Hardcopy, and Applications,  2021,  pp 245-1 - 245-9,  https://doi.org/10.2352/ISSN.2470-1173.2021.16.COLOR-245

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA