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Hyperspectral image compression using 3D discrete cosine transform and entropy-constrained trellis-coded quantization

机译:使用3D离散余弦变换和熵约束网格编码量化的高光谱图像压缩

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Abstract: A system is presented for compression of hyperspectral imagery which utilizes trellis coded quantization (TCQ). Specifically, TCQ is used to encode transform coefficients resulting from the application of an 8$MUL@8$MUL@8 discrete cosine transform. Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This entropy constrained system achieves a compression ratio of greater than 70:1 with an average PSNR of the coded hyperspectral sequence exceeding 40.5 dB. !41
机译:摘要:提出了一种利用网格编码量化(TCQ)的高光谱图像压缩系统。具体来说,TCQ用于编码因应用8 $ MUL @ 8 $ MUL @ 8离散余弦变换而产生的变换系数。讨论了辅助信息和费率分配策略。熵约束码本是使用广义Lloyd算法的修改版设计的。该熵约束系统实现了大于70:1的压缩比,编码的高光谱序列的平均PSNR超过40.5 dB。 !41

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