An objective assessment method for image defogging effects Online publication date: Wed, 27-May-2015
by Fan Guo; Jin Tang; Zixing Cai
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 8, No. 2/3, 2015
Abstract: Methods to identify image defogging effects can help evaluate and optimise image defogging algorithms. However, such methods that assess the performance of defogging algorithms or compare them with other algorithms are lacking, whereas existing assessment methods are mostly inadequate. Two new methods to assess defogging effects are therefore proposed in this study. The first method generates synthetic foggy images by using the transmission map of an image degradation model in a full-reference manner. The second method develops an assessment system from the perspective of human visual perception in a no-reference manner. Experimental results from a comparison of defogging algorithms demonstrate the effectiveness and reliability of our proposed methods. Compared with other existing methods, our proposed methods efficiently assess defogging effects from generated synthetic images and human visual perceptions. These methods represent novel approaches to measure defogging effects.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Autonomous and Adaptive Communications Systems (IJAACS):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook