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Biorthogonal filterbanks and energy preservation property in image compression

机译:图像压缩中的双正交滤波器组和能量保存特性

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The energy preservation property is among the most widely used properties of orthogonal transforms in image compression because the reconstruction error can be computed as the sum of the subband distortions. Thus, this is a key point in the use of efficient bit allocation techniques such as rate-distortion algorithms. Therefore, we study the nonorthogonality of biorthogonal filterbanks with reference to energy preservation from both theoretical and applicative points of view. We calculate the Riesz bounds as energy preservation bounds for filterbanks and discrete wavelet transforms, and then connect these results with the Riesz bounds of the related continuous wavelet transform. The simultaneous use of biorthogonal filterbanks and rate-distortion algorithms is then discussed as the issue of estimating the reconstruction error as an additive function of the subband distortion. We propose a weighted sum of the subband distortions as an estimate, whose accuracy is calculated by a wide range of experiments. This accuracy is shown to be correlated to the Riesz bounds of the filterbanks. We conclude that from this point of view, most of the usual biorthogonal filterbanks may be considered as nearly orthogonal.
机译:能量保存特性是图像压缩中最广泛使用的正交变换特性之一,因为可以将重建误差计算为子带失真的总和。因此,这是使用高效的比特分配技术(例如速率失真算法)的关键点。因此,从理论和应用的角度,我们都参考能量保存来研究双正交滤波器组的非正交性。我们将Riesz边界计算为滤波器组和离散小波变换的能量保留边界,然后将这些结果与相关连续小波变换的Riesz边界联系起来。然后讨论了双正交滤波器组和速率失真算法的同时使用,作为将重构误差估计为子带失真的加和函数的问题。我们提出了子带失真的加权总和作为估计值,其准确性是通过广泛的实验计算得出的。该精度显示与滤波器组的Riesz边界相关。我们得出的结论是,从这一观点出发,大多数通常的双正交滤光片组可以认为是几乎正交的。

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