Contrast enhancement of fog and haze stereo images based on mobile computing
by Yimin Qiu; Shihong Chen; Zhihua Cui
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 7, No. 2, 2014

Abstract: The outdoor stereo vision systems which can be used to observe objects from multiple directions are affected by fog and haze thus causing a serious decline in visibility. Therefore, using image enhancement approaches in fog and haze stereoscopic systems can alleviate blurred images, help grasp the situation of road traffic from a three-dimensional point of view and improve visibility. In order to solve the limitations of stereoscopic simulation and traffic safety caused by the weather, we propose a novel contrast enhancement method of fog and haze stereoscopic images based on mobile computing to improve image quality in this paper. The proposed approach decomposes the original image of left and right views into wavelet domain, highlights the low-frequency coefficients by edge sharpening, and enhances it by modifications of high-frequency coefficients. Experimental results show that the proposed approach outperforms conventional approaches, provides more pleasant viewing and alleviates fog and haze phenomena.

Online publication date: Fri, 31-Oct-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com