Image fusion-based contrast enhancement

Saleem, Amina, Beghdadi, Azeddine and Boashash, Azeddine (2012) Image fusion-based contrast enhancement. EURASIP Journal on Image and Video Processing, 2012 1: 10.1-10.17. doi:10.1186/1687-5281-2012-10

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Author Saleem, Amina
Beghdadi, Azeddine
Boashash, Azeddine
Title Image fusion-based contrast enhancement
Journal name EURASIP Journal on Image and Video Processing   Check publisher's open access policy
ISSN 1687-5176
Publication date 2012-05
Sub-type Article (original research)
DOI 10.1186/1687-5281-2012-10
Open Access Status DOI
Volume 2012
Issue 1
Start page 10.1
End page 10.17
Total pages 17
Place of publication Heidelberg, Germany
Publisher SpringerOpen
Collection year 2013
Language eng
Abstract The goal of contrast enhancement is to improve visibility of image details without introducing unrealistic visual appearances and/or unwanted artefacts. While global contrast-enhancement techniques enhance the overall contrast, their dependences on the global content of the image limit their ability to enhance local details. They also result in significant change in image brightness and introduce saturation artefacts. Local enhancement methods, on the other hand, improve image details but can produce block discontinuities, noise amplification and unnatural image modifications. To remedy these shortcomings, this article presents a fusion-based contrast-enhancement technique which integrates information to overcome the limitations of different contrast-enhancement algorithms. The proposed method balances the requirement of local and global contrast enhancements and a faithful representation of the original image appearance, an objective that is difficult to achieve using traditional enhancement methods. Fusion is performed in a multi-resolution fashion using Laplacian pyramid decomposition to account for the multi-channel properties of the human visual system. For this purpose, metrics are defined for contrast, image brightness and saturation. The performance of the proposed method is evaluated using visual assessment and quantitative measures for contrast, luminance and saturation. The results show the efficiency of the method in enhancing details without affecting the colour balance or introducing saturation artefacts and illustrate the usefulness of fusion techniques for image enhancement applications.
Keyword Contrast enhancement
Image fusion
Pyramidal image decomposition
Gaussian pyramid decomposition
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article # 10

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Official 2013 Collection
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Citation counts: TR Web of Science Citation Count  Cited 22 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 17 times in Scopus Article | Citations
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Created: Mon, 25 Jun 2012, 09:56:20 EST by System User on behalf of UQ Centre for Clinical Research