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A VLSI Architecture for Wavelet Based Image Compression

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Advances in Computing and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 178))

Abstract

This paper proposes a VLSI architecture for 2D Haar Wavelet based image compression. The hardware architecture is implemented using Verilog HDL and synthesized using Xilinx ISE software, Xilinx Virtex6 FPGA as target. The architecture is a parallel pipelined hardware structure, which can process 8x8 macro blocks in an image by parallel pipelined fashion. Compared to software and other conventional implementation methods, performance of this architecture is highly efficient in time. This has been implemented onto contemporary FPGA (Xilinx Virtex-6). This is a scalable architecture and can handle any image size. The design has utilized two Block RAMs for processing and 2 Block RAMs for IO storage. The maximum working frequency of the design can be as high as 600MHZ.

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References

  1. Chiang, T.-H., Dung, L.-R.: A VLSI Progressive Coding for Wavelet-based Image Compression. IEEE Transactions on Consumer Electronics 53(2), 569–577 (2007), doi:10.1109/TCE.2007.381731

    Article  Google Scholar 

  2. Walker, J.S.: Wavelet-based Image Compression-chapter of CRC Press book: Transforms and Data Compression. Department of Mathematics,University of Wisconsin

    Google Scholar 

  3. Sayood, K.: Introduction to Data Compression

    Google Scholar 

  4. Gonzalez, Woods: Digital Image Processing, 2nd edn. (DIP/2e)

    Google Scholar 

  5. Talukder, K.H., Harada, K.: Harr wavelet based approach for image compression and quality assessment of compressed image. IAENG International Journal of Applied Mathematics 36(1), IJAM_36_1_9

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  6. Xilinx Virtex 6 FPGA User Guide

    Google Scholar 

  7. A Verilog HDL Primer by J.Bhaskar

    Google Scholar 

  8. http://en.wikipedia.org/wiki/Image_compression

  9. http://www.doulos.com/knowhow/verilog_designers_guide/rtl_verilog

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Correspondence to Jayaraj U. Kidav .

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© 2013 Springer-Verlag Berlin Heidelberg

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Kidav, J.U., Ajeesh, P.A., Vasudev, D., Deepak, V.S., Menon, A. (2013). A VLSI Architecture for Wavelet Based Image Compression. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31600-5_59

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  • DOI: https://doi.org/10.1007/978-3-642-31600-5_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31599-2

  • Online ISBN: 978-3-642-31600-5

  • eBook Packages: EngineeringEngineering (R0)

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