基于3D-DPCM和变长编码的超光谱图像无损压缩
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Research on hyper-spectral image lossless compressing technology based on 3D-DPCM and variable-length coding
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    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。

    Abstract:

    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.

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王军.基于3D-DPCM和变长编码的超光谱图像无损压缩[J].激光与红外,2013,43(12):1416~1419
WANG Jun. Research on hyper-spectral image lossless compressing technology based on 3D-DPCM and variable-length coding[J]. LASER & INFRARED,2013,43(12):1416~1419

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  • 在线发布日期: 2013-12-31
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