摘要
剖析了干涉成像光谱仪拍摄图像的空间和谱间相关性,提出一种三维DPCM无损压缩方案。首先做谱间DPCM预测,再应用帧内DPCM预测于残差图像,最后对差分码流实施变长编码。实验表明,该算法能完成无损压缩,平均压缩比为1.486,相比整数小波变换(二维)算法提高3.3%,且算法复杂度较低,仅有加、减法和移位运算,便于硬件实现。
The spectral correlation and spatial correlation of images from interferential imaging spectrometer are analyzed and calculated. The 3D-DPCM lossless compression scheme is proposed. This scheme includes three aspects： Spectral DPCM is predicted,then residual images are predicted by using intra-DPCM,finally,variable-length coding is carried out for differential coefficient. The experimental data shows that the algorithm can carry out lossless compression,the average of compression ratio is up to 1. 486. It is 3. 3% higher than Integer Wavelet Transform of two dimensions. This algorithm only uses addition- subtration and shifts to complete data compression. Implementation with hardware is easier.
出处
《激光与红外》
CAS
CSCD
北大核心
2013年第12期1416-1419,共4页
Laser & Infrared
