Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
Optimized GPU Implementation of JPEG 2000 for Satellite Image Decompression
Date
2018-10-31
Author
UFUK, derviş utku
Temizel, Alptekin
ÖZBAYOĞLU, AHMET MURAT
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
2
views
0
downloads
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 synchronous 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.
Subject Keywords
JPEG 2000
,
GPU
,
CUDA
,
Image compression
,
Parallel processing
,
Satellite imagery
URI
https://hdl.handle.net/11511/31919
DOI
https://doi.org/10.1109/cse.2018.00014
Collections
Graduate School of Informatics, Conference / Seminar