A Survey of Efficient CCSDS Recommended DWT Decompressor

Authors(2) :-Shailja M. Maniya, Bakul Panchal

Now a days many satellites are being launched and data retrieval from the satellite on the earth is very expensive task as it requires too much bandwidth. So, we need compression to get the data using less bandwidth and it can also speed up file transfer. For space system there is one committee called Consultative Committee for Space Data System (CCSDS) which publishes the recommended standards on compression methodology for different type of data. CCSDS-122.0-B-1 Standard defines a compression methodology for compression of two dimensional Image Data. Inverse Discrete Wavelet Transform (IDWT) is used for the decompression of two dimensional Image Data which can be considered as time consuming part of the Decompressor. To speed up the decompressor this Inverse Discrete Wavelet Transform (IDWT) can be run parallel using different high-speed hardware. In this paper, we will survey various ways through which efficient CCSDS recommended Discrete Wavelet Decompressor can be made.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-01-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 23-28
Manuscript Number : IJSRSET184205
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Shailja M. Maniya, Bakul Panchal, " A Survey of Efficient CCSDS Recommended DWT Decompressor, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.23-28 , January-February-2018.
Journal URL : http://ijsrset.com/IJSRSET184205

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