Embedded Image Compression Coding Based On Lifting Wavelet

Image is important for us to obtain information. But it is difficult to save and transmit because of abundant data. Tradition image compression method mostly consider information theory instead of vision character. So it is not satisfy the people' s need on compression ratio and revert quality. This paper mainly study how to realize wavelet coefficient layered coding and transmission and image data progressive transmission using the correlation of the transformed image.First, wavelet was widely used in image processing due to its multiresolution or multiscale analysis property. Lifting scheme is a new method for constructing wavelets and performing wavelet transform. At the same time, it can realize transforms that map integers to integers. So lifting scheme will become a new method in lossless image compression.Secondly, image data should be transmitted from loss to lossless, named progressive transmission , because different people require different image quality.This paper mainly realize integer wavelet transform using lifting scheme, then study and compare several embedded coding arithmetic. Base on analyzing the image coefficient, we propose an improved EZW(Embedded Zerotree Wavelets) arithmetic. Jt aimed at increasing compression ratio in lossless image compression and subjective quality in loss image compression. Experiment shows that this arithmetic is superior to EZW arithmetic in compression ratio and subjective quality.