Ceed - A Database for Image Contrast Enhancement Evaluation

Azeddine Beghdadi; Muhammad Ali Qureshi; Bilel Sdiri; Mohamed Deriche; Faouzi Alaya-Cheikh

doi:10.1109/CVCS.2018.8496603

Ceed - A Database for Image Contrast Enhancement Evaluation

Azeddine Beghdadi, Muhammad Ali Qureshi, Bilel Sdiri, Mohamed Deriche, Faouzi Alaya-Cheikh

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2018 Colour and Visual Computing Symposium, CVCS 2018
Editors	Peter Nussbaum, Sony George
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538656457
DOIs	https://doi.org/10.1109/CVCS.2018.8496603
State	Published - 17 Oct 2018

Publication series

Name	2018 Colour and Visual Computing Symposium, CVCS 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

contrast enhancement
contrast enhancement evaluation
database
image quality assessment
pairwise comparison
subjective experiments

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition

Access to Document

10.1109/CVCS.2018.8496603

Cite this

Beghdadi, A., Qureshi, M. A., Sdiri, B., Deriche, M., & Alaya-Cheikh, F. (2018). Ceed - A Database for Image Contrast Enhancement Evaluation. In P. Nussbaum, & S. George (Eds.), 2018 Colour and Visual Computing Symposium, CVCS 2018 Article 8496603 (2018 Colour and Visual Computing Symposium, CVCS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CVCS.2018.8496603

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Beghdadi, A, Qureshi, MA, Sdiri, B, Deriche, M & Alaya-Cheikh, F 2018, Ceed - A Database for Image Contrast Enhancement Evaluation. in P Nussbaum & S George (eds), 2018 Colour and Visual Computing Symposium, CVCS 2018., 8496603, 2018 Colour and Visual Computing Symposium, CVCS 2018, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CVCS.2018.8496603

Ceed - A Database for Image Contrast Enhancement Evaluation. / Beghdadi, Azeddine; Qureshi, Muhammad Ali; Sdiri, Bilel et al.
2018 Colour and Visual Computing Symposium, CVCS 2018. ed. / Peter Nussbaum; Sony George. Institute of Electrical and Electronics Engineers Inc., 2018. 8496603 (2018 Colour and Visual Computing Symposium, CVCS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Ceed - A Database for Image Contrast Enhancement Evaluation

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this