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An Efficient Image Codec Using Spline-Based Directional Lifting Wavelet Transform and an Optimized EZW Algorithm

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Book cover Advanced Information Networking and Applications (AINA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 225))

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Abstract

This paper proposes a new image compression system with an optimal spline-wavelet transform based on adaptive directional lifting and an improved Embedded zero-tree wavelet (EZW) coding algorithm. The performance of the proposed scheme is evaluated using objective and subjective criteria. Experimental results have shown promising performance compared with the results obtained by the JPEG2000 standard.

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Author information

Authors and Affiliations

  1. L3S Laboratory, ENIT, University of Tunis-El Manar, Tunis, Tunisia

    Rania Boujelbene & Yousra Ben Jemaa

Authors
  1. Rania Boujelbene
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  2. Yousra Ben Jemaa
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Corresponding author

Correspondence to Rania Boujelbene .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Boujelbene, R., Jemaa, Y.B. (2021). An Efficient Image Codec Using Spline-Based Directional Lifting Wavelet Transform and an Optimized EZW Algorithm. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-030-75100-5_60

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