Study For Image Compression Based On Lifting Wavelet Transform

With the rapid development of the computer and communication technology, image application is getting widely used. Man's demand for information doesn't barely confine to traditional pronunciation, characters message, but the high-quality multimedia information that incorporates video, image, sound and characters into an organic whole, but it demands highly on band width of signal transmission and data memory capacity, etc.. So, the best solution to research and develop the new and effective coding method of image compression, and to store and transmit these data in the way that has been compressed.Set about from method of image data compression, the paper introduces wavelet and wavelet transform firstly. Wavelet transform is an analytical method of time-scalable, which has the characteristics of multi-resolution, is partly transformed in space and frequency, and can realize self-adaptation in image analysis, But must carry on the huge convolution operation, it is complex. Thus proposed to uses one kind of lifting scheme of wavelet (two generation wavelet)to carry on the picture inversion. Secondly the paper analyzes the lifting scheme of wavelet transform and how to transform image with it. Compares with the traditional wavelet transformation, the wavelet transformation of lifting scheme have some characteristics: the operating speed more quickly, home position operation, the DSP chip realization. After the image lifting wavelet transformation, its coefficients have some characteristics, for example: The frequency compression characteristic, namely the primitive image energy majority of gathers to the low frequency sub- belt; Spatial compression characteristic, namely high frequency sub- belt energy majority of centralisms in primitive corresponding and so on image edge, outline position; The coefficient distribution similarity, namely in the...