A wavelet multiresolution analysis for spatio-temporal signals

descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 1996Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Aerospace and Electronic Systems, volume 32, pages 628-649 (issn: 0018-9251,

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Authors: Burns, T. J.; Rogers, S. K.; Oxley, M. E.; Ruck, D. W.;

doi: 10.1109/7.489507

A wavelet multiresolution analysis for spatio-temporal signals

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Abstract

The wavelet filters of the conventional 3D multiresolution analysis possess homogeneous spatial and temporal frequency characteristics which limits one's ability to match filter frequency characteristics to signal frequency behavior. Also, the conventional 3D multiresolution analysis employs an oct-tree decomposition structure which restricts the analysis of signal details to identical resolutions in space and time. This paper presents a 3D wavelet multiresolution analysis constructed from nonhomogeneous spatial and temporal filters, and an orthogonal sub-band coding scheme that decouples the spatial and temporal decomposition processes.

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