Title :
GPU implementation of a lossy compression algorithm for hyperspectral images
Author :
Santos, Leonardo ; Vitulli, Raffaele ; Lopez, J.F. ; Sarmiento, R.
Author_Institution :
Inst. for Appl. Microelectron. (IUMA), Univ. of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Abstract :
In this paper, a lossy compression algorithm for onboard hyperspectral image compression is implemented on a GPU. The strategy followed for parallelizing the algorithm is presented, as well as the experimental results obtained when executing it on the GPU. Furthermore, we present the speedups that can be gained by the GPU implementation with respect to the CPU implementation, which demonstrate that the computational power of the GPUs is effective in obtaining compression results in short execution times.
Keywords :
data compression; graphics processing units; hyperspectral imaging; image coding; CPU implementation; GPU implementation; graphics processing unit; hyperspectral images; lossy compression algorithm; Graphics processing units; Hyperspectral imaging; Image coding; Indexes; MODIS; Prediction algorithms; Propagation losses; CUDA; GPU; Lossy hyperspectral image compression;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3405-8
DOI :
10.1109/WHISPERS.2012.6874322
