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Application of Adaptive Wavelet Transforms via Lifting in Image Data Compression

机译:提升的自适应小波变换在图像数据压缩中的应用

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摘要

The adaptive wavelet transforms via lifting is proposed. In the transform, update filter is selected by the signal's character. Perfect reconstruction is possible without any overhead cost. To make sure the system's stability, in the lifting scheme of adaptive wavelet, update step is placed before prediction step. The Adaptive wavelet transforms via lifting is benefit for the image compression, because of the high stability, the small coefficients of high frequency parts, and the perfect reconstruction. With the adaptive wavelet transforms via lifting and the SPIHT, the image compression is realized in this paper, and the result is pleasant.
机译:提出了通过提升的自适应小波变换。在变换中,通过信号的字符选择更新过滤器。无需任何开销即可进行完美的重建。为了确保系统的稳定性,在自适应小波提升方案中,将更新步骤放在预测步骤之前。通过提升的自适应小波变换由于其高稳定性,高频部分的系数小以及完美的重构而有利于图像压缩。通过基于提升和SPIHT的自适应小波变换,实现了图像压缩,效果令人满意。

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