The new CCSDS image compression recommendation

P. Yeh, P. Armbruster, A. Kiely, B. Masschelein, G. Moury, C. Schaefer, C. Thiebaut
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引用次数: 97

Abstract

The consultative committee for space data systems (CCSDS) data compression working group has recently adopted a recommendation for image data compression, with a final release expected in 2005. The algorithm adopted in the recommendation consists of a two-dimensional discrete wavelet transform of the image, followed by progressive bit-plane coding of the transformed data. The algorithm can provide both lossless and lossy compression, and allows a user to directly control the compressed data volume or the fidelity with which the wavelet-transformed data can be reconstructed. The algorithm is suitable for both frame-based image data and scan-based sensor data, and has applications for near-Earth and deep-space missions. The standard will be accompanied by free software sources on a future Web site. An application-specific integrated circuit (ASIC) implementation of the compressor is currently under development. This paper describes the compression algorithm along with the requirements that drove the selection of the algorithm. Performance results and comparisons with other compressors are given for a test set of space images
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新的CCSDS图像压缩推荐
空间数据系统协商委员会(CCSDS)数据压缩工作组最近通过了一项关于图像数据压缩的建议,预计将于2005年最后发布。本文所采用的算法是先对图像进行二维离散小波变换,然后对变换后的数据进行渐进位平面编码。该算法可以提供无损压缩和有损压缩,并允许用户直接控制压缩数据量或重建小波变换后数据的保真度。该算法既适用于基于帧的图像数据,也适用于基于扫描的传感器数据,可用于近地和深空任务。该标准将在未来的网站上附带自由软件源代码。该压缩机的专用集成电路(ASIC)目前正在开发中。本文介绍了压缩算法以及驱动算法选择的需求。给出了空间图像测试集的性能结果,并与其他压缩器进行了比较
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