Visibility Enhancement for Images Captured in Dusty Weather via Tuned Tri-threshold Fuzzy Intensification Operators
Author(s) -
Zohair AlAmeen
Publication year - 2016
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2016.08.02
Subject(s) - computer science , visibility , computer vision , artificial intelligence , fuzzy logic , process (computing) , contrast (vision) , meteorology , geography , operating system
An inclement dusty weather can significantly reduce the visual quality of captured images, which consequently hampers the observation of important image details. Capturing images in such weather often yields undesirable artifacts such as poor contrast, deficient colors or color cast. Hence, various methods have been proposed to process such unwanted events and recover lucid results with acceptable colors. These methods vary from simple to complex due to the variat ion 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 exhib ited its competence in filtering various degraded images. Specifically, it perfo rmed well in provid ing acceptable colors and unveiling fine details for the processed images.
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