An Innovative Approach for Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index

Authors(1) :-Sushmitha C M

Multi-exposure image fusion (MEF) is considered an effective quality enhancement technique widely adopted in consumer electronics, A single captured image of a real-world scene is usually insufficient to reveal all the details due to under- or over-exposed regions. In this paper a multi-exposure image fusion(MEF) algorithm by optimising a objective quality measure namely the MEF structural similarity index (MEF-SSIM). Specifically, first construct the MEF-SSIM index by improving upon and expanding the application scope of the existing MEF-SSIM algorithm. The final high quality image has little dependence on initial image.Experimental results demonstrate the superiority of the proposed method in terms of subjective and objective evaluation.

Authors and Affiliations

Sushmitha C M
Electronics and Instrumentation Department Dayanand sagar college of Engineering, Bengaluru, Karnataka, India

Multi-Exposure Image Fusion (MEF), Structural Similarity (SSIM)

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 651-654
Manuscript Number : CSEIT1846122
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sushmitha C M, "An Innovative Approach for Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.651-654, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1846122

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