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Proceedings Paper

Evaluation of human perception of degradation in document images
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Paper Abstract

Large degradations in document images impede their readability as well as substantially deteriorating the performance of automated document processing systems. Image quality metrics have been defined to correlate with OCR accuracy. However, this does not always correlate with human perception of image quality. When enhancing document images with the goal of improving readability, it is important to understand human perception of quality. The goal of this work is to evaluate human perception of degradation and correlate it to known degradation parameters and existing image quality metrics. The information captured enables the learning and estimation of human perception of document image quality.

Paper Details

Date Published: 18 January 2010
PDF: 10 pages
Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340T (18 January 2010); doi: 10.1117/12.838748
Show Author Affiliations
Tayo Obafemi-Ajayi, Illinois Institute of Technology (United States)
Gady Agam, Illinois Institute of Technology (United States)
Ophir Frieder, Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7534:
Document Recognition and Retrieval XVII
Laurence Likforman-Sulem; Gady Agam, Editor(s)

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