基于谱间和帧内差分脉冲编码调制的超光谱图像无损压缩

以超光谱遥感图像为研究对象，分析了干涉成像光谱仪获取图像的谱间和空间相关性，提出一种三维差分脉冲编码调制（ DPCM）无损压缩方案。首先进行了谱间DPCM预测；然后，对残差图像进行帧内DPCM预测；最后，对差分码流进行二值自适应算术编码。实验表明，该算法可实现无损压缩，压缩比平均可达1.662，较二维整数小波变换算法提高了15.6％，且算法复杂度较低，仅有加减和移位运算，易于硬件实现。

Hyper-spectral image lossless compressing based on spectral DPCM and intra-DPCM

By focusing on hyper-spectral remote sensing images , the spectral correlation and spatial correlation of images from an interferential imaging spectrometer was analyzed .A 3 D Differential Pulse Code Modulation （ DPCM） lossless compression scheme was submitted .This scheme includes three aspects：spectral DPCM, in-tra-DPCM to prediction error image and adaptive bit-level arithmetic coding to differential coefficients .The ex-perimental data show that the algorithm has achieved lossless compression and the average of compression ratio is up to 1.662, 15.6% increasement in comparison with that of the 2D integer wavelet transform .This algo-rithm uses addition-subtration and shifts to complete data compression , which is easier for hardware implemen-tation.