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Very low complexity low rate image coding for the wireless endoscope

Published: 26 October 2011 Publication History

Abstract

When designing coding algorithms for the wireless endoscope, achieving good performance with very low complexity is of great importance. This is due to the fact that hardware implementation is much constrained by the small size of the endoscope capsule and available power is also very limited. In this paper, we propose a very low complexity image coder for the wireless endoscope which operates within these constraints, with special emphasis on low bit rate performance. The scheme encodes the captured images frame-by-frame using simple DPCM (Differential Pulse Coded Modulation) coding, combined with multi-rate processing, dead-zone quantization and efficient run-length coding of the quantization indices. Simulation results show that proposed coder is able to meet our objectives.

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Cited By

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  • (2023)Parameter-Free Matrix Decomposition for Specular Reflections Removal in Endoscopic ImagesIEEE Journal of Translational Engineering in Health and Medicine10.1109/JTEHM.2023.328344411(360-374)Online publication date: 2023
  • (2013)Low-complexity video coding for wireless image transmission in capsule endoscopyProceedings of the 8th International Conference on Body Area Networks10.4108/icst.bodynets.2013.253712(513-518)Online publication date: 30-Sep-2013
  • (2012)Error concealment and post processing for the capsule endoscopeProceedings of the 7th International Conference on Body Area Networks10.5555/2442691.2442726(149-152)Online publication date: 24-Feb-2012
  • Show More Cited By

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  1. Very low complexity low rate image coding for the wireless endoscope

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    ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
    October 2011
    949 pages
    ISBN:9781450309134
    DOI:10.1145/2093698
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • Universitat Pompeu Fabra
    • IEEE
    • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
    • River Publishers: River Publishers
    • CTTC: Technological Center for Telecommunications of Catalonia
    • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2011

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    Author Tags

    1. DPCM
    2. compression algorithms
    3. multi-rate processing
    4. video and image coding

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    ISABEL '11
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    • Technical University of Catalonia Spain
    • River Publishers
    • CTTC
    • CTIF

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    Cited By

    View all
    • (2023)Parameter-Free Matrix Decomposition for Specular Reflections Removal in Endoscopic ImagesIEEE Journal of Translational Engineering in Health and Medicine10.1109/JTEHM.2023.328344411(360-374)Online publication date: 2023
    • (2013)Low-complexity video coding for wireless image transmission in capsule endoscopyProceedings of the 8th International Conference on Body Area Networks10.4108/icst.bodynets.2013.253712(513-518)Online publication date: 30-Sep-2013
    • (2012)Error concealment and post processing for the capsule endoscopeProceedings of the 7th International Conference on Body Area Networks10.5555/2442691.2442726(149-152)Online publication date: 24-Feb-2012
    • (2012)Ultrawideband technology in medicineJournal of Electrical and Computer Engineering10.1155/2012/7169732012(1-9)Online publication date: 1-Jan-2012
    • (2012)Generalized PCM Coding of ImagesIEEE Transactions on Image Processing10.1109/TIP.2012.219701521:8(3801-3806)Online publication date: 1-Aug-2012

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