MHDID: A Multi-distortion Historical Document Image Database

被引：0
|
作者：
Shahkolaei, Atena [1 ]
Beghdadi, Azeddine [2 ]
Al-Maadeed, Somaya [3 ]
Cheriet, Mohamed [1 ]
机构：
[1] Ecole Technol Super, Montreal, PQ, Canada
[2] Paris 13 Univ, Paris, France
[3] Qatar Univ, Doha, Qatar
来源：
2018 IEEE 2ND INTERNATIONAL WORKSHOP ON ARABIC AND DERIVED SCRIPT ANALYSIS AND RECOGNITION (ASAR) | 2018年
关键词：
Historical document images; pair comparison rating; physical noises; human visual system; image quality assessment; QUALITY ASSESSMENT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new dataset, called Multi-distortion Historical Document Image Database (MHDID), to be used for the research on quality assessment of degraded documents and degradation classification is proposed. The MHDID dataset contains 335 historical document images which are classified into four categories based on their distortion types, namely, paper translucency, stain, readers' annotations and worn holes.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.
引用
收藏
页码：156 / 160
页数：5
相关论文
共 50 条
  • [21] Performance Evaluation Methodology for Historical Document Image Binarization
    Ntirogiannis, Konstantinos
    Gatos, Basilis
    Pratikakis, Ioannis
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (02) : 595 - 609
  • [22] Layout and Perspective Distortion Independent Recognition of Captured Chinese Document Image
    Wang, Yanwei
    Sun, Yuefang
    Liu, Changsong
    2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, 2017, : 591 - 596
  • [23] A Document Image Generation Scheme Based on Face Swapping and Distortion Generation
    Zhu, Gang
    Ding, Yuting
    Zhao, Lin
    IEEE ACCESS, 2022, 10 : 78827 - 78837
  • [24] Multi-purpose image database
    Quirke, P
    Banks, RI
    Branch, T
    Dalzell, S
    JOURNAL OF PATHOLOGY, 1997, 181 : A20 - A20
  • [25] Document image database retrieval and browsing using texture analysis
    Cullen, JF
    Hull, JJ
    Hart, PE
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, 1997, : 718 - 721
  • [26] Document Image Database (2009-2012): A Systematic Review
    Mustafa, Wan Azani
    Kader, Mohamed Mydin M. Abdul
    1ST INTERNATIONAL CONFERENCE ON GREEN AND SUSTAINABLE COMPUTING (ICOGES) 2017, 2018, 1019
  • [27] LINKING BIBLIOGRAPHIC CITATION RETRIEVAL TO AN ELECTRONIC DOCUMENT IMAGE DATABASE
    THOMA, GR
    PROCEEDINGS OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, 1984, 21 : 190 - 194
  • [28] Historical document image restoration using multispectral imaging system
    Hedjam, Rachid
    Cheriet, Mohamed
    PATTERN RECOGNITION, 2013, 46 (08) : 2297 - 2312
  • [29] A Unified Framework for Degraded Thai Historical Document Image Restoration
    Khankasikam, Krisda
    JOURNAL OF COMPUTERS, 2014, 9 (09) : 2146 - 2150
  • [30] Texture feature benchmarking and evaluation for historical document image analysis
    Maroua Mehri
    Pierre Héroux
    Petra Gomez-Krämer
    Rémy Mullot
    International Journal on Document Analysis and Recognition (IJDAR), 2017, 20 : 1 - 35
12345