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
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;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/ICDAR.2013.148