The image compression research on the preprocessing technology of lifting wavelet transform

Abstract

The key to image data compression is extracting main feature information such as edge and mutation part of the image signal. In order to improve the efficiency of image data compression based on lifting wavelet, the two lifting stage such as prediction and update can realize the information separation from high frequency to low frequency. image decomposition is completed through biorthogonal wavelet transform, the wavelet coefficients is extracted with multi-scale in different frequency bands, The location, dimension and corresponding relationship to mutations point for module maximum of wavelet coefficients are all determined. The compression process is stop until the image signal can be approximately reconstructed from these feature information, image feature extraction and data compression are realized finally. The simulation shows that the lifting wavelet is fully competent for image data compression.