Contrast Enhancement Evaluation Database (CEED2016)

Published: 25 Nov 2017 | Version 2 | DOI: 10.17632/3hfzp6vwkm.2
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Description of this data

The CEED2016 is newly developed image database dedicated to contrast enhancement evaluation. The database contains 30 original color images and 180 enhanced images obtained using six different CE methods. The database is built with our own captured images and some common pictures used by the image processing community.
The subjective experiments were performed at Universite Paris 13, Sorbonne Paris Cité at Laboratoire de Traitement et Transport de l’Information (L2TI). The images were displayed on a calibrated LCD monitor in a dark room environment to avoid any problem with the illumination adaptation of background. Twenty-three observers, 10 experts, and 13 non-experts, from different age groups, gender, and background participated in the experiments.
To obtain the ranking scores, we adopted a balanced pairwise preference based ranking protocol. The interface for the subjective experiments was developed in Matlab, where, for each original image, we randomly displayed all possible pair combinations of enhanced images to the observers. We also showed the original image in the center of the screen (a pair of enhanced images are displayed to its left and right), to facilitate the analysis of after effects of CE. The observers had the choice to rank equally similar stimuli. In the PC ranking protocol, each enhanced image is compared with the others in pairs and ranking results are stored in a preference matrix.

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  • Version 2

    2017-11-25

    Published: 2017-11-25

    DOI: 10.17632/3hfzp6vwkm.2

    Cite this dataset

    Qureshi, Muhammad Ali; Deriche, Mohamed; Beghdadi, Azeddine; Sdiri, Bilel; Alaya-Cheikh, Faouzi (2017), “Contrast Enhancement Evaluation Database (CEED2016)”, Mendeley Data, v2 http://dx.doi.org/10.17632/3hfzp6vwkm.2

  • Version 1

    2017-08-18

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Categories

Image Enhancement, Database Design, Image Quality, Contrast Enhancement

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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