There is often interference in the transmission link between satellite and ground,which results in the errors in the compression code stream and leads to the failure of decompression process.To address this issue,a new real-time image decompression algorithm with strong error resilience is proposed.The method is the reverse process of on-board compression algorithm,which combines blocked JPEG-LS and EDC+RS source error detection/correction coding.By using the multiple backups of decompression information in compressed code stream,the algorithm greatly reduces the probability of using wrong parameters in decompression.By relocating the code stream in one frame,the risk of decompression error is controlled within the limited block,which ensures the satellite data recovery under the condition of error.%针对星地传输链路存在干扰导致压缩码流出现误码,进而导致解压缩无法正常工作、数据无法正确恢复的问题,提出了一种抗误码的实时图像解压缩算法.该解压缩算法是星上压缩编码算法的逆向过程,该压缩编码算法组合了分块JPEG-LS和EDC+RS信源检纠错编码.解压缩算法通过充分利用压缩码流中解压参数的多个备份信息,极大降低了使用错误解压参数进行解压的可能;通过使用帧内码流重定位技术,使得解压出错时所产生的风险控制在有限的分块内,极大地保障了误码条件下原始星载数据的恢复.
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