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Introduction to Multimodal Compression of Biomedical Data

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Advanced Biosignal Processing

Abstract

The aim of this chapter is to provide the reader with a new vision of compressing jointly medical images/videos and signals. This type of compression is called “multimodal compression”. The basic idea is that only one codec can be used to compress, at the same time, a combination of medical data (i.e. images, videos and signals). For instance, instead of using one codec for each signal or image/video which might complicate the software implementation, one should proceed as follows: for the encoding process, data are merged using various specific functions before being encoded using a given codec (e.g. JPEG, JPEG 2000 or H.264). For the decoding phase, data are first decoded and afterwards separated using an inverse merging-function. The performance of this approach in terms of compression-distortion appears promising.

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Authors and Affiliations

  1. Université Paris 12, Laboratoire, Image, Signaux et Systèmes Intelligents, LiSSi, EA., 3956. 61, avenue du Général de Gaulle, 94010, Créteil, France

    Amine Naït-Ali & Emre Zeybek

  2. AP-HP, Groupe Henri-Mondor Albert-Chènevière, Service de Physiologie, F-94010, Créteil, France

    Xavier Drouot

Authors
  1. Amine Naït-Ali
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  2. Emre Zeybek
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  3. Xavier Drouot
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Correspondence to Amine Naït-Ali .

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Editors and Affiliations

  1. Labo. Images, Signaux et, Systèmes Intelligents (LISSI) EA 3956, Université Paris 12, av. du Général de Gaille 61, Créteil, 94010, France

    Amine Naït-Ali

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Naït-Ali, A., Zeybek, E., Drouot, X. (2009). Introduction to Multimodal Compression of Biomedical Data. In: Naït-Ali, A. (eds) Advanced Biosignal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89506-0_17

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  • DOI: https://doi.org/10.1007/978-3-540-89506-0_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89505-3

  • Online ISBN: 978-3-540-89506-0

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