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Design and Implementation of Lifting Based Integer Wavelet Transform for Image Compression Applications

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Digital Information and Communication Technology and Its Applications (DICTAP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 166))

Abstract

In this paper we present an FPGA implementation of 5/3 Discrete Wavelet Transform (DWT), which is used in image compression. The 5/3 lifting-based wavelet transform is modeled and simulated using MATLAB. DSP implementation methodologies are used to optimize the required hardware. The signal flow graph and dependence graph are derived and optimized to implement the hardware description of the circuit in Verilog. The circuit code then has been synthesized and realized using Field Programmable Gate Array (FPGA) of FLEX10KE family. Post-synthesis simulations confirm the circuit operation and efficiency.

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Author information

Authors and Affiliations

  1. Islamic Azad University, Behshahr Branch, Behshahr, Iran

    Morteza Gholipour

Authors
  1. Morteza Gholipour
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Editor information

Editors and Affiliations

  1. LE2I, UMR, CNRS 5158, Faculté des Sciences Mirande, 9 , avenue Alain Savary, BP 47870, 21078, DIJON, France

    Hocine Cherifi

  2. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Kuantan, Pahang, Malaysia

    Jasni Mohamad Zain

  3. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Gholipour, M. (2011). Design and Implementation of Lifting Based Integer Wavelet Transform for Image Compression Applications. In: Cherifi, H., Zain, J.M., El-Qawasmeh, E. (eds) Digital Information and Communication Technology and Its Applications. DICTAP 2011. Communications in Computer and Information Science, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21984-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-21984-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21983-2

  • Online ISBN: 978-3-642-21984-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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