Calibrated color image database

IPL Calibrated Color Image Database

The databse consists of 130 calibrated colour images of natural objects under calibrated illuminations.

References
  • Nonlinearities and adaptation of color vision from sequential proncipal curves analysis Laparra, V., Jimenez, S., Camps-Valls, G. and Malo, J. Neural Computation, 24(10):2751-2788, 2012
  • Spatio-chromatic adaptation via higher-order canonical correlation analysis of natural images Gutmann, M.U., Laparra, V., Hyvärinen, A., and Malo, J. PLoS ONE 9(2) e86481, 2014
  • Van Hateren's Natural Image Database

    Approximately 4000 monochrome, calibrated images, photographed by Hans van Hateren. These images were obtained with a Kodak DCS420 digital camera. The format of the files is as follows: 1536 horizontal by 1024 vertical pixels, starting with a horizontal row in the upper left hand corner of the image.

    References
  • Independent Component Filters of Natural Images Compared with Simple Cells in Primary Visual Cortex. Hateren, J. H. van and Schaaf, A. van der. Proceedings: Biological Sciences, 1998.
  • McGill Calibrated Colour Image Database

    The purpose of this database is to provide a large number of colour images of natural scenes, calibrated, if required, for use in biological and computer vision research. So far we have over 850 images, divided into 9 groups: Flowers, Animals, Foliage, Textures, Fruits, Landscapes, Winter, Man made, Shadows. The images were taken with two Nikon Coolpix 5700 digital cameras (called "Pippin" and "Merry"). The images in the database are 786 X 576 pixels, and were scaled from the 1920 X 2560 pixel originals..

    References
  • A biologically inspired algorithm for the recovery of shading and reflectance images Olmos, A., Kingdom, F. A. A. Perception, 33:1463-1473, 2004
  • Barcelona Calibrated Image Database

    This dataset of calibrated images seeks to be device-independent, all-purpose and open database. It contains two main improvements over previous databases: first, it has been gathered using a calibrated camera (whose calibration process is explained in this website) and second, it accommodates a grey ball of known reflectance on the lower-left side of the image.

    References
  • Accurate Mapping of Natural Scenes Radiance to Cone Activation Space: A New Image Dataset Parraga, C. A., Baldrich, R. and Vanrell, M. CGIV 2010/MCS'10 - 5th European Conference on Colour in Graphics, Imaging, and Vision - 12th International Symposium on Multispectral Colour Science. (Society for Imaging Science and Technology ).
  • A new cone activation-based natural images dataset Párraga, C. A., Vazquez-Corral, J., and Vanrell, M. Perception, 36(Suppl.) 180, 2009
  • Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset Vazquez-Corral, J., Párraga, C. A., Vanrell, M., and Baldrich, R. Journal of Imaging Science and Technology, 53(3): 0311051-0311059, 2009
  • Image Color Constancy Database (Funt)

    Our image database consists of approximately 11,000 images in which the RGB color of the ambient illuminant in each scene is measured. To build such a large database we used a novel set-up consisting of a digital video camera with a neutral gray sphere attached to the camera so that the sphere always appears in the field of view

    References
  • A Large Image Database for Color Constancy Research F. Ciurea and B. Funt. Proceedings of the Imaging Science and Technology Eleventh Color Imaging Conference, pp. 160-164, Scottsdale, Nov. 2003.