遥感图像压缩中CCSDS标准的应用及VLSI实现

针对遥感图像的无损压缩应用,基于国际空间数据系统咨询委员会(CCSDS)犤1犦建议的无损数据压缩标准,结合局域纹理特征分析的处理方法犤2犦,设计了一种有效的遥感图像无损压缩方案。压缩方案由基于局域纹理分析的去相关处理、CCSDS建议的熵编码两部分组成,去相关操作是通过提取出两种有效的预测模型并自适应选择最佳的模型进行处理,然后使用快速有效的CCSDS熵编码器对最佳去相关模型的预测误差进行编码,同时算法中考虑面向空间应用的特殊性,设计了输入输出数据率恒定条件下的压缩码率控制方法,从而给出了一套完整的针对遥感图像压缩的具有可行性的解决方案,同时解决了压缩方案中VLSI实现的一些关键技术。

A VLSI Implementation of CCSDS for Meteorology Image Lossless Compression

For Meteorology image lossless compression,a new compression algorithm based on the lossless data compression recommendation given by the Consultative Committee for Space Data System(CCSDS) is presented.The algorithm is composed from two parts,preprocessor and adaptive entropy coder.Preprocessor comes from the theory of analyzing feature of local texture ,and the entropy coder is borrowed from CCSDS121.0-B-1.In order to prevent serious transmission error propagation and the possible overflow and underflow of the output buffer,several measures are specially designed for the algorithm.Furthermore,the algorithm is implemented and verified with VLSI using verilog HDL,and all key techniques in VLSI design are referred.