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- W2368986752 abstract "Improving super-resolution reconstruction of video image sequences effect is highly dependent on reducing the influence of the data outliers.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,the authors propose a design strategy to annihilate the effects of outliers on the reconstructed image sequence.The authors show that the proposed strategy can improve the performance of the algorithm in both transient and steady-state phases of adaptation in practical situations when registration errors are considered." @default.
- W2368986752 created "2016-06-24" @default.
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- W2368986752 date "2008-01-01" @default.
- W2368986752 modified "2023-09-24" @default.
- W2368986752 title "Research on robust super-resolution reconstruction algorithm for reduction to outliters of video image sequences" @default.
- W2368986752 hasPublicationYear "2008" @default.
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