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Multiresolution Filter Banks for Pansharpening Application

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Advances in Multirate Systems

Abstract

In this chapter, the two-channel filter bank is considered. Fundamental concept of filter bank theory and the analysis/synthesis configuration and different solutions are revisited. Such filter structures have been studied in many applications including subband coding, speech processing, image compression and eventually in pansharpening. This chapter is dedicated to the pansharpening (i.e., combining remotely sensed data at different resolution) application. In this context, a special structure of filter bank is introduced in Hallabia et al.(2016) in order to extract the high-frequency details from the panchromatic (PAN) image and transfer them into the up-sampled multispectral (MS) images. Based on the physics of the imaging sensor, the low-pass analysis filter is assumed to approximate the modulation transfer function (MTF). Under the perfect reconstruction property, the complementary high-pass filter (used to extract the high-frequency details) is conceived as the result of an optimization procedure. A qualitative and quantitative comparative study is discussed.

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Author information

Authors and Affiliations

  1. Advanced Technologies for Medicine and Signals (ATMS), Sfax University, Sfax, Tunisia

    Hind Hallabia & Ahmed Ben Hamida

  2. Digital Research Center of Sfax (CRNS), Sfax University, Sfax, Tunisia

    Hind Hallabia & Abdelaziz Kallel

Authors
  1. Hind Hallabia
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  2. Abdelaziz Kallel
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  3. Ahmed Ben Hamida
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Correspondence to Hind Hallabia .

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Editors and Affiliations

  1. Department of Electronics, Institute National INAOE, Tonantzintla, Puebla, Mexico

    Gordana Jovanovic Dolecek

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Hallabia, H., Kallel, A., Hamida, A.B. (2018). Multiresolution Filter Banks for Pansharpening Application. In: Dolecek, G. (eds) Advances in Multirate Systems . Springer, Cham. https://doi.org/10.1007/978-3-319-59274-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-59274-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59273-2

  • Online ISBN: 978-3-319-59274-9

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