DocumentCode
3487861
Title
Document Image Quality Assessment: A Brief Survey
Author
Peng Ye ; Doermann, David
Author_Institution
Language & Media Process. Lab., Univ. of Maryland, Coll. Park, College Park, MD, USA
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
723
Lastpage
727
Abstract
To maintain, control and enhance the quality of document images and minimize the negative impact of degradations on various analysis and processing systems, it is critical to understand the types and sources of degradations and develop reliable methods for estimating the levels of degradations. This paper provides a brief survey of research on the topic of document image quality assessment. We first present a detailed analysis of the types and sources of document degradations. We then review techniques for document image degradation modeling. Finally, we discuss objective measures and subjective experiments that are used to characterize document image quality.
Keywords
document image processing; detailed analysis; document image degradation modeling; document image quality assessment; Accuracy; Degradation; Entropy; Image quality; Measurement; Noise; Optical character recognition software; image quality assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location
Washington, DC
ISSN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2013.148
Filename
6628713
Link To Document