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Paper Detail

Paper:	SPTM-L5.3
Session:	LMS-type Adaptive Filters
Time:	Wednesday, May 17, 14:40 - 15:00
Presentation:	Lecture
Topic:	Signal Processing Theory and Methods: Adaptive Systems and Filtering
Title:	Statistical Analysis of the LMS Algorithm Applied to Super-Resolution Video Reconstruction
Authors:	Guilherme Costa, José Carlos Bermudez, Federal University of Santa Catarina, Brazil
Abstract:	Super-resolution reconstruction of image sequences is highly dependent on the quality of the motion estimation between sucessive frames. This work presents a statistical analysis of the Least Mean Square (LMS) algorithm applied to super-resolution reconstruction of an image sequence. Deterministic recursions are derived for the mean and mean square behaviors of the reconstruction error as functions of the registration errors. The new model describes the behavior of the algorithm in realistic situations, and significantly improves the accuracy of a simple model available in the literature. Monte Carlo simulations show good agreement between actual and predicted behaviors.