Abstract
Motivated by biological vision, schemes of signal and image representation by localized Gabor-type functions are introduced and analyzed. These schemes, suitable for information representation in a combined frequency-position space are investigated through signal decomposition into a set of elementary functions. Utilizing the Piecewise Zak transform (PZT), the theory of the multi-window approach is given in detail based on the mathematical concept of frames. The advantages of using more than a single window are analyzed and discussed. Applications to image processing and computer vision are presented with regard to texture images, and considered in the context of two typical tasks: image representation by partial information and pattern recognition. In both cases the results indicate that the multi-window approach is efficient and superior in major aspects to previously available methods. It is concluded that the new multi-window Gabor approach could be integrated efficiently into practical techniques of signal and image representation.
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© 1998 Springer Science+Business Media New York
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Zeevi, Y.Y., Zibulski, M., Porat, M. (1998). Multi-window Gabor schemes in signal and image representations. In: Feichtinger, H.G., Strohmer, T. (eds) Gabor Analysis and Algorithms. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-2016-9_13
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DOI: https://doi.org/10.1007/978-1-4612-2016-9_13
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7382-0
Online ISBN: 978-1-4612-2016-9
eBook Packages: Springer Book Archive