UCID-RAW – A Colour Image Database in Raw Format

  • Gerald Schaefer
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 27)


Virtually all multimedia and imaging applications and algorithms require validation and evaluation, yet benchmarking and evaluation have proven to be difficult and challenging. This is partly due to the amount of work involved in performing an appropriate and convincing test, but is also often hindered by the fact that there are relatively few test datasets that are publicly available.

In this paper, we present UCID-RAW, an image database comprising 10,000 colour images. Importantly, all images in the dataset are captured and preserved in raw format; that is, stored in a way that maintains the actual information that the camera sensors recorded without any alteration or processing. The dataset is consequently useful for evaluation of a variety of applications including image compression, image retrieval, steganography and image forensics but in particular also demosaicing, colour correction, gamma and contrast correction, dynamic range compression and device calibration and characterisation.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Gerald Schaefer
    • 1
  1. 1.Department of Computer ScienceLoughborough UniversityLoughboroughUK

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