Manuscript Number : IJSRSET1844367
Efficient parallelization of Inverse DWT using GPGPU
Authors(2) :-Shailja Maniya, Bakul Panchal
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.
Shailja Maniya
GPGPU, CCSDS, Discrete Wavelet Transform (DWT), CUDA, NVIDIA.
Publication Details
Published in :
Volume 4 | Issue 4 | March-April 2018 Article Preview
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
Date of Publication :
2018-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
989-993
Manuscript Number :
IJSRSET1844367
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET1844367