Study and Implementation of the New CCSDS Image Compression Algorithm
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摘要: 2005年CCSDS(空间数据系统咨询委员会)推出了一项新的图像数据压缩算法标准,制定算法标准的目的是为了解决有效载荷设备的数据压缩以及如何分段压缩能使地面更好地接收图像数据和解压缩.算法的应用能够减少静态图像的数据量,这样不仅可以降低传输带宽,减少数据存储,而且在给定码率情况下能缩短传输时间,这对空间数据压缩具有重要意义.针对CCSDS最新推出的图像压缩算法进行了研究并对其性能进行了阐述,分析了算法硬件实现的可行性,并将算法软件实现的结果与其他图像压缩算法的实现结果进行了测试比较,结果表明在低码率下压缩性能与JPEG 2000,SPIHT相当,甚至更好,完全符合星载图像压缩在低码率下传输的要求.Abstract: The Consultative Committee for Space Data Systems (CCSDS) has recently adopted a new recommendation for image data compression algorithm released in 2005 as a staudard. The purpose of the Recommended Standard is to solve the problem of efficiently compressing the digital image two-dimensional spatial data from payload instruments and to specify how this compressed data will be formatted into segments to enable decompression at the receiving end. This algorithm can reduce the amount of digital data to achieve benefits, so it not only can reduce the transmission channel bandwidth, the buffering and storage requirement, but also can reduce the data-transmission time at a given rate. This algorithm has important significance to space data compression. This paper describes the new CCSDS image compression algorithm and performance and analyzes the feasibility of hardware implement. And the testing results between this algorithm and other image compression algorithm under software implementing are compared. From the results, it is shown that the performance is as good or even better than that of JPEG 2000, SPIHT under low bit-rate compression. It completely conforms to the on-board image compression under the low bit-rate.
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Key words:
- Image compression /
- CCSDS /
- Wavelet transform /
- Bit-plane coding
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