CID:IQ – A New Image Quality Database

  • Xinwei Liu
  • Marius Pedersen
  • Jon Yngve Hardeberg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8509)


A large number of Image Quality (IQ) metrics have been developed over the last decades and the number continues to grow. For development and evaluation of such metrics, IQ databases with reference images, distortions, and perceptual quality data, is very useful. However, existing IQ databases have some drawbacks, making them incapable of evaluating properly all aspects of IQ metrics. The lack of reference image design principles; limited distortion aspects; and uncontrolled viewing conditions. Furthermore, same sets of images are always used for evaluating IQ metrics, so more images are needed. These are some of the reasons why a newly developed IQ database is desired. In this study we propose a new IQ database, Colourlab Image Database: Image Quality (CID:IQ), for which we have proposed methods to design reference images, and different types of distortions have been applied. Another new feature with our database is that we have conducted the perceptual experiments at two viewing distances. The CID:IQ database is available at .


Image Quality Metric Noise Blur Image Compression Gamut Mapping Viewing Distance Perceptual Experiment 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xinwei Liu
    • 1
  • Marius Pedersen
    • 1
  • Jon Yngve Hardeberg
    • 1
  1. 1.The Norwegian Colour and Visual Computing LaboratoryGjøvik University CollegeGjøvikNorway

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