Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44976
Title: High level modular implementation of a lossy hyperspectral image compression algorithm on a FPGA
Authors: García Romero, Leví Aday 
Santos, Lucana 
Lopez, Sebastian 
Lopez, Jose Fco 
Sarmiento, Roberto 
Marrero, Gustavo 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Random access memory
Image coding
Algorithm design and analysis
Field programmable gate arrays
Hyperspectral imaging
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Journal: Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing 
Conference: 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 
Abstract: In this paper, a Field Programmable Gate Array (FPGA) implementation of the LCE (Lossy Compression for ExoMars) algorithm is presented. This algorithm shows a good quality/compression ratio tradeoff for hyperspectral images, at the expenses of a higher complexity with respect to lossless algorithms. In order to deal with this complexity levels, high level synthesis (HLS) tools, such as Catapult C, have been used together with Precision RTL so that a final implementation was obtained in a Virtex-5 FPGA. The results show a performance slightly higher than a previous lossless/near-lossless algorithm implementation, in terms of operating frequency (87 MHz vs. 81 MHz), with a reduced number of memory blocks, at the expenses of an increase in the number of digital signal processing (DSP) slices used.
URI: http://hdl.handle.net/10553/44976
ISBN: 9781509011193
ISSN: 2158-6276
DOI: 10.1109/WHISPERS.2013.8080624
Source: Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing [ISSN 2158-6276], v. 2013-June (8080624)
Appears in Collections:Actas de congresos
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