Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Near Real-Time Restoration of Non-Uniformly Warped Images from a Dynamic Scenery

Not Accessible

Your library or personal account may give you access


We consider a variant of the FRTAAS algorithm to restore warped images from dynamic scenery. We test the usefulness of including a Kalman filter to compensate the loss of statistical data after each scenery change.

© 2011 Optical Society of America

PDF Article
More Like This
Progressive Restoration of Non-uniformly Warped Images by Shiftmap Prediction Using Kalman Filter

Murat Tahtali, Andrew Lambert, and Don Fraser
SMC5 Signal Recovery and Synthesis (SRS) 2007

Gradient Techniques for the Restoration of Non-Uniformly Warped Images

David Clyde, Donald Fraser, Andrew Lambert, and Ian Scott-Fleming
STuB1 Signal Recovery and Synthesis (SRS) 2001

Imaging Techniques Through Unfavorable Media

Murat Tahtali
PTh5F.3 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2022


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved