Reducing the Complexity of CCSDS 123.0-B-2 Hybrid Entropy Coding
This letter addresses the complexity of the hybrid entropy encoder in the Consultative Committee for Space Data Systems (CCSDS) 123.0-B-2 compression standard and proposes an improved encoding method. By eliminating the refresh table from the original standard, simplifying the encoding process, and using forward decoding, the proposed method significantly reduces encoding complexity and enhances error resilience. The improved algorithm is particularly optimized for handling high-resolution accumulators, reducing bitstream redundancy while maintaining compression performance comparable to the original standard. Experimental results demonstrate that the new algorithm excels in both lossless and lossy compression, achieving higher compression ratios (CRs) and better image quality, making it well-suited for satellite platform applications with bandwidth and power consumption constraints.
Authors
- Chengpeng Song (ORCID: https://orcid.org/0009-0007-1953-9013)
- Longsheng Zhang (ORCID: https://orcid.org/0009-0006-0634-1406)
- Lili Zhang (ORCID: https://orcid.org/0000-0002-9287-3612)
- Peng Zhang (ORCID: https://orcid.org/0000-0002-3634-1208)
Institutions
- Shenyang Aerospace University (CN)
Publication Details
- Journal
- IEEE Geoscience and Remote Sensing Letters
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/lgrs.2024.3517146
- Primary Topic
- Advanced Data Compression Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00