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All-Weather Road Image Enhancement using Multicolor Content-Aware Color Constancyopen access

Authors
Lee, DongahKim, TaehungByun, HyeranChoi, Yeongwoo
Issue Date
Aug-2018
Publisher
UNIV SUCEAVA, FAC ELECTRICAL ENG
Keywords
image enhancement; color; image color analysis; object recognition; road vehicles
Citation
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, v.18, no.3, pp 67 - 78
Pages
12
Journal Title
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
Volume
18
Number
3
Start Page
67
End Page
78
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/4386
DOI
10.4316/AECE.2018.03010
ISSN
1582-7445
1844-7600
Abstract
This paper proposes a method that enhances the road images in real-time, which is an essential part of advanced driver assistance systems. The proposed method restores distorted colors in road images due to illumination by harnessing the relationship between known traffic signs and detected traffic signs via a traffic sign recognition system. The relationship is represented with Von Kries color constancy model which we aim to estimate and apply to the entire image. The proposed method uses a road traffic sign recognition system that is robust against illumination changes. It uses the difference between the detected color values of the traffic sign and an existing reference color values to obtain the coefficients of the Von Kries color constancy method, which is then applied to correct the road images in real time. Our method runs in real time and we tested the proposed method on various road driving images to show superior image enhancement performance regardless of the weather or time of day, compared to methods based on existing image processing techniques and color constancy method such as white balance.
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Choi, Yeong Woo
공과대학 (소프트웨어학부(첨단))
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