Impulse noise removal from colour images using fuzzy genetic algorithm
by K.K. Anisha; M. Wilscy
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 8, No. 4, 2015

Abstract: Noise removal from colour images is an important pre-processing step in any task involving analysis of these images. Many methods have been proposed for noise removal, but they are either inefficient or quite complicated. This paper presents a simple method for removing impulse noise from colour images, where a set of standard filters are successively applied on the noisy image. The type and the order of application of these filters are determined using fuzzy genetic algorithm. The results of simulations performed on a set of standard test images for a wide range of noise corruption levels shows that the proposed method outperforms the standard procedures both visually and in terms of objective quality measures such as Peak Signal-to-Noise Ratio (PSNR), Image Quality Index (IQI) and Mean Absolute Error (MAE).

Online publication date: Fri, 10-Jul-2015

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 Signal and Imaging Systems Engineering (IJSISE):
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