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MSB Based New Hybrid Image Compression Technique for Wireless Transmission

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Advances in Computing and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 177))

Abstract

It is observed that Digital images requires a large amount of memory to store and when retrieved from the internet, can take a considerable amount of time to download. Our method enables us to compress image in such a way that the utilization of memory will be less. The Proposed MSB based hybrid method has good compression rate (more than sixty percentage of compression) and has linear time complexity i.e. O(MN) where M and N denote number of pixels in horizontal and vertical directions. We have proved that the compressed image obtained after applying our algorithm has PSNR value greater than or equal to 32dB which is suitable for wireless transmission.

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Author information

Authors and Affiliations

  1. Department of Master of Computer Application, Manipal Institute of Technology, Manipal University, Manipal, India

    S. N. Muralikrishna, Meghana Ajith & K. B. Ajitha Shenoy

Authors
  1. S. N. Muralikrishna
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  2. Meghana Ajith
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  3. K. B. Ajitha Shenoy
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Corresponding author

Correspondence to S. N. Muralikrishna .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Jackson State University, John R. Lynch Street 1400, Jackson, 39217, USA

    Natarajan Meghanathan

  2. Wireilla Net Solutions PTY Ltd, Melbourne, Australia

    Dhinaharan Nagamalai

  3. Department of Computer Science & Eng., University of Calcutta, Calcutta, 700 073, India

    Nabendu Chaki

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© 2013 Springer-Verlag Berlin Heidelberg

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Muralikrishna, S.N., Ajith, M., Ajitha Shenoy, K.B. (2013). MSB Based New Hybrid Image Compression Technique for Wireless Transmission. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_76

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  • DOI: https://doi.org/10.1007/978-3-642-31552-7_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31551-0

  • Online ISBN: 978-3-642-31552-7

  • eBook Packages: EngineeringEngineering (R0)

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