Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2014
Title: Optimized GPU implementation of JPEG 2000 for satellite image decompression
Authors: Ufuk, Derviş Utku
Temizel, A.
Özbayoğlu, Ahmet Murat
142991
Keywords: Image compression
Field programmable gate arrays (FPGA)
Image coding
Issue Date: 24-Dec-2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Ufuk, D. U., Temizel, A., & Özbayoglu, A. M. (2018, October). Optimized GPU Implementation of JPEG 2000 for Satellite Image Decompression. In 2018 IEEE International Conference on Computational Science and Engineering (CSE) (pp. 56-61). IEEE.
Abstract: JPEG 2000 is a powerful yet computationally complex image compression algorithm which is widely used in remote sensing applications. In this work, we focus on speeding-up the decompression algorithm by applying various GPU optimization techniques. We have conducted numerous experiments on high-resolution satellite images in two operational modes; a syn-chronous mode and an asynchronous batch mode. We share our experiment results and make performance evaluations regarding each operational mode and optimization method separately. Finally we propose an optimized GPU architecture for satellite image decompression and compare the achieved performance with a multi-threaded CPU architecture. © 2018 IEEE.
Description: 21st IEEE International Conference on Computational Science and Engineering (2018 : Romania)
URI: https://ieeexplore.ieee.org/document/8588218
https://hdl.handle.net/20.500.11851/2014
ISBN: 978-153867648-6
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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