By Topic

Filtering heavy noised images using ICI rule for adaptive varying bandwidth selection

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 $13
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

3 Author(s)
Katkovnik, V. ; Dept. of Stat., South Africa Univ., Pretoria, South Africa ; Oktem, H. ; Egiazarian, K.

A novel approach is developed to solve a problem of varying bandwidth selection for filtering heavily noised signals. The approach is based on the intersection of confidence intervals (ICI) rule and gives the algorithm, which is simple to implement and adaptive to unknown smoothness of the signal. Asymptotic accuracy results as well as simulation demonstrate the efficiency of the approach. In particular, the tenfold SNR improvement is demonstrated for filtering binary images

Published in:

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on  (Volume:4 )

Date of Conference:

Jul 1999