Informed Choice of the LMS Parameters in Super-Resolution Video Reconstruction Applications

Abstract

Super-resolution reconstruction of image sequences is highly dependent on data outliers and on the quality of the motion estimation. This paper addresses the design of the least mean square algorithm applied to super-resolution reconstruction (LMS-SRR). Based on a statistical model for the algorithm behavior, we propose a design strategy to reduce the… (More)
DOI: 10.1109/TSP.2007.907910

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