Statistical analysis of the LMS algorithm applied to super-resolution image reconstruction

被引：26

作者：

Costa, Guilherme Holsbach ^{[1
]}

Moreira Bermudez, Jose Carlos ^{[1
]}

机构：

[1] Univ Fed Santa Catarina, Dept Elect Engn, BR-88040900 Florianopolis, SC, Brazil

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2007年 / 55卷 / 05期

关键词：

adaptive filtering; least mean square (LMS); registration error; statistical analysis; super resolution;

D O I：

10.1109/TSP.2007.892704

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Super resolution reconstruction of image sequences is highly dependent on quality of the motion estimation between successive frames. This work presents a statistical analysis of the least mean square (LMS) algorithm applied to super resolution reconstruction of an image sequence with translational global motion. 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, andsignificantly improves the accuracy of a simple model available in the literature. Monte Carlo simulations show very good agreement between actual and predicted behaviors.

引用

页码：2084 / 2095

页数：12

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