Analysis on the Compression Technique of Adaptive Lifting Wavelet Transform Image
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An adaptive lifting wavelet transform algorithm is proposed. The algorithm is based on the local characteristics of the signal to be analyzed, the adaptive selection updater, and the selection of an adaptive updater. The main purpose is to keep the edges of the image from being smoothed and to prevent the appearance of large wavelets. coefficient. In order to ensure the stability of the system, it also proposes a lifting structure that is updated after the prediction. In this structure, the prediction process does not affect the update process, which also provides favorable conditions for the reconstruction of the adaptive algorithm. Due to high stability, high frequency coefficients and complete reconstruction, this method is conducive to the improvement of compression performance.
Adaptive Lifting Wavelet Transform, Image Compression, Develop and Application.