Abstract:Abstract-Discrete Wavelet Transform (DWT) has been proved to be a very efficient tool for data compression. Redundant Wavelet Transform (RDWT) conquers the "shift-variant" problem in DWT and enables the motion estimation and motion compensation (ME/MC) in wavelet domain. Also, RDWT produces growing number of phases at each level of the transform, each phase contributes to the ME/MC procedure by providing a unique hypothesis. Based on the previous successful usage of phase-diversity multihypothesis in redundant… Show more
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