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International Conference on Hybrid Information Technology

ICHIT 2011: Convergence and Hybrid Information Technology pp 653–660Cite as

Compressed Sensing Meets the Human Visual System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6935))

Abstract

Foveation principles suggested by the Human Visual System have already been used with significant success for compression purposes on both 1D and 2D data. The method provides spatially variable quality of the reconstructed information, enabling better approximation of specific regions of interest. Combining this approach with the principles behind Compressed Sensing theory enable further improvement of compression ratio performances, as indicated by experimental results on a set of natural images.

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Author information

Authors and Affiliations

  1. Faculty of Electronics, Telecommunications, and Information Technology, Gheorghe Asachi” Technical University of Iasi, Bd. Carol I, no. 11, Iasi, Romania

    Iulian B. Ciocoiu

Authors
  1. Iulian B. Ciocoiu
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Editor information

Editors and Affiliations

  1. Computer Engineering Department, Hannam University, 70 Hannamro, Daedeuk-gu, Daejeon, Korea

    Geuk Lee

  2. QinetiQ Company Fellow, Howard Science Limited, 24 Sunrise, WR14 2NJ, Malvern, UK

    Daniel Howard

  3. University of Warsaw, 02-097, Warsaw, Poland

    Dominik Ślęzak

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© 2011 Springer-Verlag Berlin Heidelberg

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Ciocoiu, I.B. (2011). Compressed Sensing Meets the Human Visual System. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Lecture Notes in Computer Science, vol 6935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24082-9_79

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  • DOI: https://doi.org/10.1007/978-3-642-24082-9_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24081-2

  • Online ISBN: 978-3-642-24082-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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