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J. Imaging 2018, 4(9), 108; https://doi.org/10.3390/jimaging4090108

Adaptive Multi-Scale Entropy Fusion De-Hazing Based on Fractional Order

Department of Electronic Engineering, University of Nigeria, Nsukka, Enugu 410001, Nigeria
Received: 21 July 2018 / Revised: 29 August 2018 / Accepted: 31 August 2018 / Published: 6 September 2018
(This article belongs to the Special Issue Physics-based Computer Vision: Color and Photometry)
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Abstract

This paper describes a proposed fractional filter-based multi-scale underwater and hazy image enhancement algorithm. The proposed system combines a modified global contrast operator with fractional order-based multi-scale filters used to generate several images, which are fused based on entropy and standard deviation. The multi-scale-global enhancement technique enables fully adaptive and controlled color correction and contrast enhancement without over exposure of highlights when processing hazy and underwater images. This in addition to the illumination/reflectance estimation coupled with global and local contrast enhancement. The proposed algorithm is also compared with the most recent available state-of-the-art multi-scale fusion de-hazing algorithm. Experimental comparisons indicate that the proposed approach yields a better edge and contrast enhancement results without a halo effect, without color degradation, and is faster and more adaptive than all other algorithms from the literature. View Full-Text
Keywords: fractional order calculus-based multi-scale contrast operator; hybrid local-global contrast enhancement; underwater image enhancement processing; hazy image contrast enhancement; entropy guided fusion fractional order calculus-based multi-scale contrast operator; hybrid local-global contrast enhancement; underwater image enhancement processing; hazy image contrast enhancement; entropy guided fusion
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Nnolim, U.A. Adaptive Multi-Scale Entropy Fusion De-Hazing Based on Fractional Order. J. Imaging 2018, 4, 108.

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