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引用次数: 3

摘要

研究了利用自然保持变换(NPT)对图像数据进行预测编码的方法。混合编码系统采用一维npt和并行差分脉冲编码调制(DPCM)系统。解决了图像编码中给出最小均方误差(MSE)的基的确定问题。给出了Hadamard NPT和正弦NPT编码方案的结果。通过将核不扩散基与图像子阵列统计相适应,获得了优异的性能。在低比特率下,MSE的改进更高
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Predictive naturalness preserving transform coding of monochrome images
Transform predictive coding of pictorial data using the naturalness-preserving transform (NPT) is investigated. The hybrid coding system uses one-dimensional NPTs and parallel differential pulse-code modulation (DPCM) systems. The problem of determining the basis giving the minimum mean square error (MSE) for coding images is addressed. Results of coding schemes using the Hadamard NPT and the sine NPT are presented. Superior performance was achieved by adapting the NPT bases to image subarray statistics. The MSE improvement is higher at low bit rates.<>
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