Ceed - A Database for Image Contrast Enhancement Evaluation
Azeddine Beghdadi, Muhammad Ali Qureshi, Bilel Sdiri, Mohamed A. Deriche, Faouzi Alaya-Cheikh · 2018
For the first time, a database dedicated to contrast enhancement performance evaluation is proposed. This database has recently been developed by our group. In this paper, a detailed description of this database and the methodology we used to build it are discussed. We show that the perceptual quality of contrasted images is related to some specific distortions and artifacts that should be taken into account when building such a database. To this end, we provide some guidelines on how to build a database suitable for testing contrast enhancement quality evaluation metrics, and how to use a psychophysical experiment to obtain the quality judgments for this database. Some open problems and new ideas for using and extending this database are also discussed. The Contrast Enhancement Evaluation Database (CEED), is made publicly accessible through http://dx.doi.org/10.17632/3hfzp6vwkm.3.