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Image coding using Dual Tree Complex Wavelet Transform

机译:使用双树复数小波变换的图像编码

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In this paper, we propose Dual Tree Complex Wavelet Transform for image coding, so here we verify how the projection properties of the DT-CWT can be exploited to concentrate signal energy in a few wavelet coefficients greater than a given threshold, while maintaining image reconstruction quality. These non-zero coefficients are forced to compensate using an iterative transform projection loop with error feedback. Also, experiment with different thresholding and error gain strategies, here we use IP-NS system (Iterative projection based noise shaping system). The benefits of applying IP-NS to DT-CWT signals to provide preliminary or simulation results & develop a new and unique system for achieving these transform coding aims of coefficient elimination and compensation. The system is based on iterative projection of signals between the image domain and transform domain
机译:在本文中,我们提出了用于图像编码的双树复数小波变换,因此在此我们验证了如何利用DT-CWT的投影特性将信号能量集中在大于给定阈值的几个小波系数中,同时保持图像重建质量。这些非零系数被迫使用带有误差反馈的迭代变换投影回路进行补偿。另外,尝试使用不同的阈值和误差增益策略,这里我们使用IP-NS系统(基于迭代投影的噪声整形系统)。将IP-NS用于DT-CWT信号以提供初步或仿真结果,以及开发新的独特系统以实现系数消除和补偿的这些变换编码目标的好处。该系统基于图像域和变换域之间信号的迭代投影

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