By Topic

Adaptive image restoration using recursive image filters

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

2 Author(s)
Erler, K. ; Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada ; Jernigan, E.

Examines adaptive image processing in a recursive filtering framework. Recursive filters offer the potential of a large implicit region of support with few calculations per pixel, but have been generally ignored in light of additional concerns of stability, causality, and phase. The use of simple adaptive recursive filters for image restoration is examined. Adaptive filter behavior is achieved by changing the position of poles of the filter depending on local image characteristics. Results show that issues of stability, causality, and phase can be addressed and that traditional nonrecursive adaptive image filters can be successfully emulated

Published in:

Signal Processing, IEEE Transactions on  (Volume:42 ,  Issue: 7 )