Efficient parallelization of Inverse DWT using GPGPU

Authors

  • Shailja Maniya  Research Scholar, M.E. (I.T.), I.T. Department, L.D. College of Engineering Gujarat Technological University, Ahmedabad, Gujarat, India
  • Bakul Panchal  Assistant Professor, M.E. (I.T.), I.T. Department, L.D. College of Engineering Gujarat Technological University, Ahmedabad, Gujarat, India

Keywords:

GPGPU, CCSDS, Discrete Wavelet Transform (DWT), CUDA, NVIDIA.

Abstract

Satellite images are gaining more and more popularity in our daily life as they are helpful during situations like natural calamities or warfare. In order to save bandwidth as well as to speed up data transfer, compression can be used to download satellite images on the earth. The Consultative Committee for Space Data Systems (CCSDS) had proposed an image data compression standard (CCSDS-IDC) for satellite image compression. This standard provides good compression performance using Discrete Wavelet Transform (DWT) and Bit Plane Encoder. As Discrete Wavelet Transform (DWT) is time consuming, to meet real time requirement this data should be decompressed as soon as massive stream of bits downlinked on the earth. In this research work, efficient GPGPU based IDWT (Inverse DWT) computation gives better time efficiency than CPU implementation.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 4, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shailja Maniya, Bakul Panchal "Efficient parallelization of Inverse DWT using GPGPU" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.989-993, March-April-2018.