Compression of hyperspectral imagery using hybrid DPCM/DCT and entropy-constrained trellis coded quantization

G. Abousleman
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引用次数: 17

Abstract

A system is presented for compression of hyperspectral imagery which utilizes trellis coded quantization (TCQ). Specifically, DPCM is used to spectrally decorrelate the hyperspectral data, while a 2-D discrete cosine transform (DCT) coding scheme is used for spatial decorrelation. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This coder achieves compression ratios of greater than 70:1 with average PSNR of the coded hyperspectral sequence exceeding 40.0 dB.
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基于混合DPCM/DCT和熵约束网格编码量化的高光谱图像压缩
提出了一种基于网格编码量化(TCQ)的高光谱图像压缩系统。具体而言,采用DPCM对高光谱数据进行频谱去相关,采用二维离散余弦变换(DCT)编码方案对高光谱数据进行空间去相关。熵约束码本是使用广义劳埃德算法的改进版本设计的。该编码器的压缩比大于70:1,编码的高光谱序列的平均PSNR超过40.0 dB。
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