Title :
Real-time CCSDS lossless adaptive hyperspectral image compression on parallel GPGPU & multicore processor systems
Author :
Hopson, Ben ; Benkrid, Khaled ; Keymeulen, Didier ; Aranki, Nazeeh
Author_Institution :
Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK
Abstract :
The new CCSDS (Consultative Committee for Space Data Systems) Lossless Multispecral&Hyperspectral Image Compression Standard was designed to facilitate a fast hardware implementation. This paper analyses that algorithm with regard to available parallelism and describes fast parallel implementations in software for GPGPU and Multicore CPU architectures. We show that careful software implementation, using hardware acceleration in the form of GPGPUs or even just multicore processors, can exceed the performance of existing hardware and software implementations by up to 11× and break the real-time barrier for the first time for a typical test application.
Keywords :
data compression; geophysical image processing; geophysical techniques; graphics processing units; image coding; multiprocessing systems; parallel architectures; remote sensing; spectral analysis; Consultative Committee for Space Data Systems; hardware acceleration; hardware implementation; lossless hyperspectral image compression standard; lossless multispectral compression standard; multicore CPU architecture; multicore processor system; parallel GPGPU system; parallel implementation; parallelism; real-time CCSDS lossless adaptive hyperspectral image compression; software implementation; Adaptive filters; Graphics processing unit; Hardware; Hyperspectral sensors; Parallel processing; Sensors; Adaptive Filter; CCSDS; GPGPU; Hyperspectral; Image Compression; Lossless; Multicore; Parallel; Realtime;
Conference_Titel :
Adaptive Hardware and Systems (AHS), 2012 NASA/ESA Conference on
Conference_Location :
Erlangen
Print_ISBN :
978-1-4673-1915-7
Electronic_ISBN :
978-1-4673-1914-0
DOI :
10.1109/AHS.2012.6268637
