Back to articles
Articles
Volume: 32 | Article ID: art00027
Image
Document Image Quality Assessment with Relaying Reference to Determine Minimum Readable Resolution for Compression
  DOI :  10.2352/ISSN.2470-1173.2020.9.IQSP-323  Published OnlineJanuary 2020
Abstract

Image quality assessment has been a very active research area in the field of image processing, and there have been numerous methods proposed. However, most of the existing methods focus on digital images that only or mainly contain pictures or photos taken by digital cameras. Traditional approaches evaluate an input image as a whole and try to estimate a quality score for the image, in order to give viewers an idea of how “good” the image looks. In this paper, we mainly focus on the quality evaluation of contents of symbols like texts, bar-codes, QR-codes, lines, and hand-writings in target images. Estimating a quality score for this kind of information can be based on whether or not it is readable by a human, or recognizable by a decoder. Moreover, we mainly study the viewing quality of the scanned document of a printed image. For this purpose, we propose a novel image quality assessment algorithm that is able to determine the readability of a scanned document or regions in a scanned document. Experimental results on some testing images demonstrate the effectiveness of our method.

Subject Areas :
Views 44
Downloads 12
 articleview.views 44
 articleview.downloads 12
  Cite this article 

Litao Hu, Zhenhua Hu, Peter Bauer, Todd J. Harris, Jan P. Allebach, "Document Image Quality Assessment with Relaying Reference to Determine Minimum Readable Resolution for Compressionin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XVII,  2020,  pp 323-1 - 323-8,  https://doi.org/10.2352/ISSN.2470-1173.2020.9.IQSP-323

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2020
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA