Open source database of images DEIMOS: high dynamic range images

被引:1
|
作者
Fliegel, Karel [1 ]
Pata, Petr [1 ]
Klima, Milos [1 ]
Blazek, Martin [1 ]
Havlin, Josef [1 ]
机构
[1] Czech Tech Univ, Fac Elect Engn, Dept Radioelect, Prague 16627 6, Czech Republic
关键词
Image database; image processing; DSLR camera; image quality; high dynamic range imaging;
D O I
10.1117/12.859940
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Efficient development of image processing techniques requires a database of suitable test images for verification of the performance, optimization and other related purposes. In this paper, the DEIMOS, an open-source database, is described including its structure and interface. There is a selected application example on high dynamic range content to illustrate the database features. This HDR image database contains a variety of natural scenes captured with a digital single-lens reflex camera (DSLR) under different conditions. The important capture parameters as well as the important characteristics of the camera are part of the database to ensure that the creation of each image is well documented. The DEIMOS database is created gradually step-by-step based upon the contributions of team members.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Fast tone mapping for high dynamic range images
    Duan, J
    Qiu, GP
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, 2004, : 847 - 850
  • [42] MOVEMENT DETECTION FOR THE SYNTHESIS OF HIGH DYNAMIC RANGE IMAGES
    Li, Zhengguo
    Rahardja, Susanto
    Zhu, Zijian
    Xie, Shoulie
    Wu, Shiqian
    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 3133 - 3136
  • [43] Wavelet Processing of Topographic High Dynamic Range Images
    Tkal, V. A.
    Okunev, A. O.
    Petrov, M. N.
    Danil'chuk, L. N.
    JOURNAL OF SURFACE INVESTIGATION, 2007, 1 (03): : 277 - 285
  • [44] Illuminance analysis from high dynamic range images
    Moeck, M
    Anaokar, S
    LEUKOS, 2006, 2 (03) : 211 - 228
  • [45] Inverse Tone Mapping High Dynamic Range Images
    Touil, Med Amine
    Ellouze, Noureddine
    2017 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND DIAGNOSIS (ICCAD), 2017, : 338 - 342
  • [46] A Reversible Steganographic Algorithm for High Dynamic Range Images
    Wang, Chung-Ming
    Huang, Pei-Chen
    Wang, Hao-Cheng
    JOURNAL OF INTERNET TECHNOLOGY, 2009, 10 (04): : 449 - 462
  • [47] Visible difference predicator for high dynamic range images
    Mantiuk, R
    Myszkowski, K
    Seidel, HP
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 2763 - 2769
  • [48] Efficient Iris Segmentation Based on Converting Iris Images to High Dynamic Range Images
    Harifi, Sasan
    Bastanfard, Azam
    2015 SECOND INTERNATIONAL CONFERENCE ON COMPUTING TECHNOLOGY AND INFORMATION MANAGEMENT (ICCTIM), 2015, : 115 - 119
  • [49] New visualization method for high dynamic range images in low dynamic range devices
    Kim, Jun-Hyung
    Kim, Hoon
    Ko, Sung-Jea
    OPTICAL ENGINEERING, 2011, 50 (10)
  • [50] PRACTICALITIES OF PREDICTING QUALITY OF HIGH DYNAMIC RANGE IMAGES AND VIDEO
    Mantiuk, Rafal K.
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 904 - 908