| Home > Articles > Published articles > A Lightweight Contextual Arithmetic Coder for On-Board Remote Sensing Data Compression |
| Date: | 2017 |
| Abstract: | The Consultative Committee for Space Data Systems (CCSDS) has issued several data compression standards devised to reduce the amount of data transmitted from satellites to ground stations. This paper introduces a contextual arithmetic encoder for on-board data compression. The proposed arithmetic encoder checks the causal adjacent neighbors, at most, to form the context and uses only bitwise operations to estimate the related probabilities. As a result, the encoder consumes few computational resources, making it suitable for on-board operation. Our coding approach is based on the prediction and mapping stages of CCSDS-123 lossless compression standard, an optional quantizer stage to yield lossless or near-lossless compression and our proposed arithmetic encoder. For both lossless and near-lossless compression, the achieved coding performance is superior to that of CCSDS-123, M-CALIC, and JPEG-LS. Taking into account only the entropy encoders, fixed-length codeword is slightly better than MQ and interleaved entropy coding. |
| Grants: | Ministerio de Economía y Competitividad TIN2015-71126-R Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-691 |
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| Language: | Anglès |
| Document: | Article ; recerca ; Versió acceptada per publicar |
| Published in: | IEEE transactions on geoscience and remote sensing, Vol 55, Issue 8 (August 2017) , p. 4825-4835, ISSN 1558-0644 |
Postprint 11 p, 1.1 MB |