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Title: | FPGA implementation of a lossy compression algorithm for hyperspectral images with a high-level synthesis tool | Authors: | Santos, Lucana López, José Fco Sarmiento, Roberto Vitulli, Raffaele |
UNESCO Clasification: | 3307 Tecnología electrónica | Keywords: | Image coding Algorithm design and analysis Field programmable gate arrays Hyperspectral imaging |
Issue Date: | 2013 | Journal: | Proceedings of the 2013 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2013 | Conference: | NASA/ESA Conference on Adaptive Hardware and Systems (AHS) 2013 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2013 |
Abstract: | In this paper, we present an FPGA implementation of a novel adaptive and predictive algorithm for lossy hyperspectral image compression. This algorithm was specifically designed for on-board compression, where FPGAs are the most attractive and popular option, featuring low power and high-performance. However, the traditional RTL design flow is rather time-consuming. High-level synthesis (HLS) tools, like the well-known CatapultC, can help to shorten these times. Utilizing CatapultC, we obtain an FPGA implementation of the lossy compression algorithm directly from a source code written in C language with a double motivation: demonstrating how well the lossy compression algorithm would perform on an FPGA in terms of throughput and area; and at the same time showing how HLS is applied, in terms of source code preparation and CatapultC settings, to obtain an efficient hardware implementation in a relatively short time. The P&R on a Virtex 5 5VFX130 displays effective performance terms of area (maximum device utilization at 14%) and frequency (80 MHz). A comparison with a previous FPGA implementation of a lossless to near-lossless algorithm is also provided. Results on a Virtex 4 4VLX200 show less memory requirements and higher frequency for the LCE algorithm. | URI: | http://hdl.handle.net/10553/45003 | ISBN: | 9781467363839 | DOI: | 10.1109/AHS.2013.6604233 | Source: | Proceedings of the 2013 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2013 (6604233), p. 107-114 |
Appears in Collections: | Actas de congresos |
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