Adaptive video contrast enhancement with low noise amplification via local data analysis
by Zhi Dou; Shixun Wang; Hualei Shen; Guoqi Liu
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 14, No. 3, 2018

Abstract: Unlike global enhancement methods, the proposed algorithm analyses an image in local areas to take full advantage of the local information, and enhances it in two channels to obtain exact result. Furthermore, the algorithm can restrain noise amplification by virtue of local statistic characteristics analysis. To enhance videos rapidly, the Kullback-Leibler distance between frames is used to characterised its similarity, based on it, enhancement function can be updated selectively. Experimental results show that the resultant images from the proposed algorithm are comparable or better than those from previous state-of-the-art methods. On the other hand, the computational complexity of the proposed method is much lower than the current local-data-based contrast enhancement algorithms.

Online publication date: Sat, 16-Jun-2018

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