An information based framework for performance evaluation of image enhancement methods

M. Ali Qureshi; M. Deriche; A. Beghdadi; M. Mohandes

doi:10.1109/IPTA.2015.7367201

An information based framework for performance evaluation of image enhancement methods

M. Ali Qureshi
, M. Deriche
, A. Beghdadi
, M. Mohandes

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

9 Scopus citations

Abstract

We propose a new framework for evaluating image enhancement methods. In this work, we focus on contrast enhancement, and use the joint probability and the mutual information derived from the image co-occurrence matrix to determine the proposed index. We show that the second order entropy and the mutual information can be used jointly for tracking and evaluating the effect of contrast enhancement. More importantly, we show that the variations of the mutual information mimic, in a consistent way, human perceptual sensitivity to visual appearance of image changes due to contrast enhancement. The proposed approach is seen as a completely new framework for evaluating image enhancement methods, validated by a number of experiments. Finally, we also show that the proposed metric can even be used to detect image enhancement thresholds at which unpleasant artifacts start to be perceived by viewers.

Original language	English
Title of host publication	5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015
Editors	Rachid Jennane
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	519-523
Number of pages	5
ISBN (Electronic)	9781479986354
DOIs	https://doi.org/10.1109/IPTA.2015.7367201
State	Published - 28 Dec 2015

Publication series

Name	5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Co-occurrence matrix
Contrast enhancement
Image quality
Mutual information
Performance evaluation

ASJC Scopus subject areas

Media Technology
Radiology Nuclear Medicine and imaging
Signal Processing

Access to Document

10.1109/IPTA.2015.7367201

Cite this

Qureshi, M. A., Deriche, M., Beghdadi, A., & Mohandes, M. (2015). An information based framework for performance evaluation of image enhancement methods. In R. Jennane (Ed.), 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015 (pp. 519-523). Article 7367201 (5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPTA.2015.7367201

Qureshi, M. Ali ; Deriche, M. ; Beghdadi, A. et al. / An information based framework for performance evaluation of image enhancement methods. 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015. editor / Rachid Jennane. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 519-523 (5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015).

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title = "An information based framework for performance evaluation of image enhancement methods",

abstract = "We propose a new framework for evaluating image enhancement methods. In this work, we focus on contrast enhancement, and use the joint probability and the mutual information derived from the image co-occurrence matrix to determine the proposed index. We show that the second order entropy and the mutual information can be used jointly for tracking and evaluating the effect of contrast enhancement. More importantly, we show that the variations of the mutual information mimic, in a consistent way, human perceptual sensitivity to visual appearance of image changes due to contrast enhancement. The proposed approach is seen as a completely new framework for evaluating image enhancement methods, validated by a number of experiments. Finally, we also show that the proposed metric can even be used to detect image enhancement thresholds at which unpleasant artifacts start to be perceived by viewers.",

keywords = "Co-occurrence matrix, Contrast enhancement, Image quality, Mutual information, Performance evaluation",

author = "Qureshi, \{M. Ali\} and M. Deriche and A. Beghdadi and M. Mohandes",

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year = "2015",

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language = "English",

series = "5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015",

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Qureshi, MA, Deriche, M, Beghdadi, A & Mohandes, M 2015, An information based framework for performance evaluation of image enhancement methods. in R Jennane (ed.), 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015., 7367201, 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 519-523. https://doi.org/10.1109/IPTA.2015.7367201

An information based framework for performance evaluation of image enhancement methods. / Qureshi, M. Ali; Deriche, M.; Beghdadi, A. et al.
5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015. ed. / Rachid Jennane. Institute of Electrical and Electronics Engineers Inc., 2015. p. 519-523 7367201 (5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015).

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

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AB - We propose a new framework for evaluating image enhancement methods. In this work, we focus on contrast enhancement, and use the joint probability and the mutual information derived from the image co-occurrence matrix to determine the proposed index. We show that the second order entropy and the mutual information can be used jointly for tracking and evaluating the effect of contrast enhancement. More importantly, we show that the variations of the mutual information mimic, in a consistent way, human perceptual sensitivity to visual appearance of image changes due to contrast enhancement. The proposed approach is seen as a completely new framework for evaluating image enhancement methods, validated by a number of experiments. Finally, we also show that the proposed metric can even be used to detect image enhancement thresholds at which unpleasant artifacts start to be perceived by viewers.

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Qureshi MA, Deriche M, Beghdadi A, Mohandes M. An information based framework for performance evaluation of image enhancement methods. In Jennane R, editor, 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 519-523. 7367201. (5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015). doi: 10.1109/IPTA.2015.7367201

An information based framework for performance evaluation of image enhancement methods

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this