Paper
18 January 2010 Evaluation of human perception of degradation in document images
Author Affiliations +
Proceedings Volume 7534, Document Recognition and Retrieval XVII; 75340T (2010) https://doi.org/10.1117/12.838748
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tayo Obafemi-Ajayi, Gady Agam, and Ophir Frieder "Evaluation of human perception of degradation in document images", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340T (18 January 2010); https://doi.org/10.1117/12.838748
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Cited by 4 scholarly publications.
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KEYWORDS
Image quality

Optical character recognition

Speckle

Image segmentation

Data modeling

Image processing

Quality measurement

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