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Contrast Enhancement Satellite Images: A Hybrid Solution for Cloud Removal

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Abdelfattah Elsharkawi, Kamal A. ElDahshan, Eman K. Elsayed, Mahmoud Eltaher
10.5120/ijca2016909053

Abdelfattah Elsharkawi, Kamal A ElDahshan, Eman K Elsayed and Mahmoud Eltaher. Article: Contrast Enhancement Satellite Images: A Hybrid Solution for Cloud Removal. International Journal of Computer Applications 138(8):42-49, March 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Abdelfattah Elsharkawi and Kamal A. ElDahshan and Eman K. Elsayed and Mahmoud Eltaher},
	title = {Article: Contrast Enhancement Satellite Images: A Hybrid Solution for Cloud Removal},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {138},
	number = {8},
	pages = {42-49},
	month = {March},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

The contrast enhancement of the satellite images without producing unnatural and unclear images is an important challenge in image processing. Also, the clouds are an important issue in the real satellite image. So, this paper proposes a method to enhance the contrast of the cloudy satellite image. The proposed method relies on modifying and integrating the closest spectral fit and genetic algorithm to remove clouds and to detect the number of edges as well as the contrast relative difference. This leads to ameliorate the contrast satellite images. Final experimental results of applying the proposed method on real images taken by LandSat8 show that it produce semi-natural looking images even if the image is cloudy.

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Keywords

Contrast enhancement, satellite images, cloud removal.