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Optical Engineering • Open Access

Transmission map estimation of weather-degraded images using a hybrid of recurrent fuzzy cerebellar model articulation controller and weighted strategy
Author(s): Jyun-Guo Wang; Shen-Chuan Tai; Cheng-Jian Lin

Paper Abstract

This study proposes a hybrid of a recurrent fuzzy cerebellar model articulation controller (RFCMAC) and a weighted strategy for solving single-image visibility in a degraded image. The proposed RFCMAC model is used to estimate the transmission map. The average value of the brightest 1% in a hazy image is calculated for atmospheric light estimation. A new adaptive weighted estimation is then used to refine the transmission map and remove the halo artifact from the sharp edges. Experimental results show that the proposed method has better dehazing capability compared to state-of-the-art techniques and is suitable for real-world applications.

Paper Details

Date Published: 12 August 2016
PDF: 14 pages
Opt. Eng. 55(8) 083104 doi: 10.1117/1.OE.55.8.083104
Published in: Optical Engineering Volume 55, Issue 8
Show Author Affiliations
Jyun-Guo Wang, National Cheng Kung Univ. (Taiwan)
Shen-Chuan Tai, National Cheng Kung Univ. (Taiwan)
Cheng-Jian Lin, National Chin-Yi Univ. of Technology (Taiwan)

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