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A Novel Method of Adaptive Traffic Image Enhancement for Complex Environments
Joint Authors
Liu, Cao
Zheng, Hong
Yu, Dian
Xu, Xiaohang
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
There exist two main drawbacks for traffic images in classic image enhancement methods.
First is the performance degradation that occurs under frontlight, backlight, and extremely dark conditions.
The second drawback is complicated manual settings, such as transform functions and multiple parameter selection mechanisms.
Thus, this paper proposes an effective and adaptive parameter optimization enhancement algorithm based on adaptive brightness baseline drift (ABBD) for color traffic images under different luminance conditions.
This method consists of two parts: brightness baseline model acquisition and adaptive color image compensation.
The brightness baseline model can be attained by analyzing changes in light along a timeline.
The adaptive color image compensation involves color space remapping and adaptive compensation specific color components.
Our experiments were tested on various traffic images under frontlight, backlight, and during nighttime.
The experimental results show that the proposed method achieved better effects compared with other available methods under different luminance conditions, which also effectively reduced the influence of the weather.
American Psychological Association (APA)
Liu, Cao& Zheng, Hong& Yu, Dian& Xu, Xiaohang. 2015. A Novel Method of Adaptive Traffic Image Enhancement for Complex Environments. Journal of Sensors،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070143
Modern Language Association (MLA)
Liu, Cao…[et al.]. A Novel Method of Adaptive Traffic Image Enhancement for Complex Environments. Journal of Sensors No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1070143
American Medical Association (AMA)
Liu, Cao& Zheng, Hong& Yu, Dian& Xu, Xiaohang. A Novel Method of Adaptive Traffic Image Enhancement for Complex Environments. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070143
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070143