ICIP 2006, Atlanta, GA
 

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Paper:TP-L4.5
Session:Super-Resolution
Time:Tuesday, October 10, 16:00 - 16:20
Presentation: Lecture
Title: ON THE DESIGN OF THE LMS ALGORITHM FOR ROBUSTNESS TO OUTLIERS IN SUPER-RESOLUTION VIDEO RECONSTRUCTION
Authors: Guilherme Costa; Federal University of Santa Catarina 
 José Carlos Bermudez; Federal University of Santa Catarina 
Abstract: Super-resolution reconstruction of image sequences is highly dependent on the data outliers and on the quality of the motion estimation. This work addresses the design of the Least Mean Square (LMS) algorithm applied to super-resolution reconstruction. Based on a statistical model of the algorithm behavior, we propose a design strategy to reduce the effects of outliers on the reconstructed image sequence. We show that the proposed strategy can improve the algorithm performance in both transient and steady-state phases of adaptation in practical situations, when registration errors are considered.