TY - GEN
T1 - A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques
AU - Qureshi, Muhammad Ali
AU - Beghdadi, Azeddine
AU - Sdiri, Bilel
AU - Deriche, Mohamed
AU - Alaya-Cheikh, Faouzi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality of the enhanced images is measured with most commonly used CE evaluation metrics. We provide the ranking of images based on perceptual preference as well as objective quality metrics scores. We show that some of the metrics used for the enhancement evaluation are not consistent with the human subjective scores. This new database, named as Contrast Enhancement Evaluation Database (CEED2016), is made publicly available to the research community at http://wwwl2ti. univ-paris13.fr/site/index.php/en/CEED2016/ and is expected to be a contribution to the area of Image Quality Assessment (IQA) and particularly for image quality enhancement evaluation.
AB - In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality of the enhanced images is measured with most commonly used CE evaluation metrics. We provide the ranking of images based on perceptual preference as well as objective quality metrics scores. We show that some of the metrics used for the enhancement evaluation are not consistent with the human subjective scores. This new database, named as Contrast Enhancement Evaluation Database (CEED2016), is made publicly available to the research community at http://wwwl2ti. univ-paris13.fr/site/index.php/en/CEED2016/ and is expected to be a contribution to the area of Image Quality Assessment (IQA) and particularly for image quality enhancement evaluation.
KW - contrast enhancement database
KW - contrast enhancement evaluation metrics
KW - image enhancement
KW - image quality assessment
KW - subjective experiments
UR - https://www.scopus.com/pages/publications/85011303065
U2 - 10.1109/EUVIP.2016.7764589
DO - 10.1109/EUVIP.2016.7764589
M3 - Conference contribution
AN - SCOPUS:85011303065
T3 - Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016
BT - Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016
A2 - Oudre, L.
A2 - Beghdadi, A.
A2 - Bourennane, S.
A2 - Bouzerdoum, A.
A2 - Pedersen, M.
A2 - Jiang, R.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th European Workshop on Visual Information Processing, EUVIP 2016
Y2 - 25 October 2016 through 27 October 2016
ER -