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Image Coding

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Applications of Pulse-Coupled Neural Networks

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Abstract

The large amount of data bring difficulties for storage and transmission of digital images. For instance, a typical uncompressed scanned image of size 2 480 × 3 500 will take up approximately 25 megabytes of storage space. The data compression techniques have been used to reduce the amount of data required by representing an image with no or little distortion as far as possible. It means that the digital data contain much redundancy, which is of no or little use for image representation. The aim of information coding is to represent the effective information accurately with less code.

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Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Gansu, 730000, P. R. China

    Yide Ma, Kun Zhan & Zhaobin Wang

Authors
  1. Yide Ma
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  2. Kun Zhan
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  3. Zhaobin Wang
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© 2010 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg

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Ma, Y., Zhan, K., Wang, Z. (2010). Image Coding. In: Applications of Pulse-Coupled Neural Networks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13745-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-13745-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13744-0

  • Online ISBN: 978-3-642-13745-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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