Visibility Enhancement for Images Captured in Dusty Weather via Tuned Tri-threshold Fuzzy Intensification Operators

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Author(s)

Zohair Al-Ameen 1,*

1. Department of General Education, College of Education and Languages, Lebanese French University, Erbil, Iraq

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2016.08.02

Received: 1 Nov. 2015 / Revised: 11 Feb. 2016 / Accepted: 27 Apr. 2016 / Published: 8 Aug. 2016

Index Terms

Color cast, Color image enhancement, Degraded image, Dusty weather, Fuzzy intensification operators

Abstract

An inclement dusty weather can significantly reduce the visual quality of captured images and this consequently leads to hamper the observation of meaningful image details. Capturing images in such weather often leads to undesirable artifacts such as poor contrast, deficient colors or color cast. Hence, various methods have been proposed to process such unwanted event and recover vivid results with acceptable colors. These methods vary from simple to complex due to the variation of the used processing concepts. In this article, an innovative technique that utilizes tuned fuzzy intensification operators is introduced to expeditiously process poor quality images captured in an inclement dusty weather. Intensive experiments were carried out to check the processing ability of the proposed technique, wherein the obtained results exhibited its competence in filtering various degraded images. Specifically, it performed well in providing acceptable colors and unveiling fine details for the processed images.

Cite This Paper

Zohair Al-Ameen, "Visibility Enhancement for Images Captured in Dusty Weather via Tuned Tri-threshold Fuzzy Intensification Operators", International Journal of Intelligent Systems and Applications (IJISA), Vol.8, No.8, pp.10-17, 2016. DOI:10.5815/ijisa.2016.08.02

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