基于最佳谱间预测与SPIHT的高光谱图像混沌压缩加密

针对高光谱图像传输安全性问题,提出一种将最佳谱间预测、SPIHT编码和混沌映射相结合的高光谱图像压缩加密算法.该算法采用最佳谱间预测与SPIHT的编码算法对高光谱图像进行压缩.压缩过程中,首先由Tent映射置乱初始化LIP,然后利用Lorenz三维混沌映射产生混沌值生成比特序列,编码过程中实时加密对图像重构起重要作用的数据,在压缩过程中实现图像加密.仿真结果表明：该算法密钥空间大,对密钥和明文敏感,同时能有效提高图像存储和传输效率.

Algorithm of Joint Hyperspectrum Image Compression and Encryption Based on Optimal Spectrum Prediction of Inter-Band,SPIHT and Chaos Mapping

For the security of hyperspectral image transmission,the algorithm of joint hyperspectrum image compression and encryption based on optimal spectrum prediction of inter-band,SPIHT and chaos mapping,named as HCSCE,is proposed in this paper.We use the optimal spectrum prediction of inter-band and SPIHT methods to encode and compress the hyperspectral image.In the process of compression,initialized LIP is permuted by the tent map,then a chaotic sequence is generated by the Lorenz chaotic map.The HCSCE algorithm encrypts the most significant bits which are important for reconstructing image,and finishes the encryption in the process of compression.The simulation results show that the HCSCE algorithm not only has a large key-space,but also is highly sensitive to both the key and plain-image.Moreover,it can increase the efficiency of image storage and transmission.