By Topic

Restoration of images contaminated by mixed Gaussian and impulse noise using a recursive minimum-maximum method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xu, Y. ; Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia ; Lai, E.M.-K.

A technique is proposed for removing impulse noise in images, called the recursive minimum-maximum method. Statistical analysis of this method indicates that it is good at preserving fine details and suppressing impulse noise at the same time. Experimental results show that the technique is robust and produces better restored images under various impulse noise conditions than other median filter-based methods

Published in:

Vision, Image and Signal Processing, IEE Proceedings -  (Volume:145 ,  Issue: 4 )