MHDID: A Multi-distortion Historical Document Image Database
| Author | Shahkolaei A. |
| Author | Beghdadi A. |
| Author | Al-Maadeed S. |
| Author | Cheriet M. |
| Available date | 2020-03-03T06:19:01Z |
| Publication Date | 2018 |
| Publication Name | 2nd IEEE International Workshop on Arabic and Derived Script Analysis and Recognition, ASAR 2018 |
| Resource | Scopus |
| Abstract | In this paper, a new dataset, called Multi-distortion Historical Document Image Database (MHDID), to be used for the research on quality assessment of degraded documents and degradation classification is proposed. The MHDID dataset contains 335 historical document images which are classified into four categories based on their distortion types, namely, paper translucency, stain, readers' annotations and worn holes. A total of 36 subjects participated to judge the quality of ancient document images. Pair comparison rating (PCR) is utilized as a subjective rating method for evaluating the visual quality of degraded document images. For each distortion image a mean opinion score (MOS) value is computed. This dataset could be used for evaluating the image quality assessment (IQA) measures as well as in the design of new metrics. |
| Sponsor | This publication was made possible by NPRP grant NPRP 7-442-1-082 from the Qatar National Research Fund (a member of Qatar Foundation). The statements are solely the responsibility of the authors. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Historical document images human visual system image quality assessment pair comparison rating physical noises |
| Type | Conference Paper |
| Pagination | 156 - 160 |
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Computer Science & Engineering [2127 items ]