OcrV1, Main, Exploration, bibRecord, 000782

Evaluation of Human Perception of Degradation in Document Images

Identifieur interne : 000782 ( Main/Exploration ); précédent : 000781; suivant : 000783

Evaluation of Human Perception of Degradation in Document Images

Auteurs : Tayo Obafemi-Ajayi [États-Unis] ; Gady Agam [États-Unis] ; Ophir Frieder [États-Unis]

Source :

Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2010.

RBID : Pascal:10-0429706

Descripteurs français

Pascal (Inist)
- Qualité image, Homme, Traitement automatique, Reconnaissance forme, Recherche documentaire, Evaluation subjective, Dégradation, Traitement image document, Evaluation performance, Traitement document, 0130C, 4230S, 4230V.
Wicri :
- topic : Homme, Recherche documentaire.

English descriptors

KwdEn :
- Automatic processing, Degradation, Document handling, Document image processing, Document retrieval, Image quality, Man, Pattern recognition, Performance evaluation, Subjective evaluation.

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.

Affiliations:

Links toward previous steps (curation, corpus...)

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to stream Main, to step Curation: 000782

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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Evaluation of Human Perception of Degradation in Document Images

Evaluation of Human Perception of Degradation in Document Images

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri