The Research Of Lossless Compression Arithmetic Based On Integer Wavelet Transform's Still Image

The still image is a 2D ,the amount of data of the image is huge and it is hard to deliver and save directly,so compression to the picture is necessary.Because the some images information (such as remotely sensed hyperspectral image,medical image etc .)are very precious,the lossless compression method is needed possibly. The different purpose between the lossless image compression and the lossy image compression,it is not only for the sake of the person's visual system,but also for an special application.It is unallowed that the main application information of image in the process of decomposition and reconstruction of image is lost.The integer wavelet transform(IWT) based on lifting scheme implements really lossless and reversible transform,it is applied widely in the field of the image transmission especially in the field of the image compression coding. Therefore now seeking the very effective lossless compression coding arithmetic is a very hot point of the research.This paper analyses some basic theory of traditional wavelet. Then through analyzing the shortcomings of the traditional wavelet, the lifting scheme using to construct the second generation wavelet is inducted. We give the algorithm of getting the coefficients of new lifting wavelet and the procedure of realizing the traditional wavelet with lifting scheme, and introduce the (5,3)integer wavelet transform used to the lossless compression.there are some advantages of this method such as: simple moves and addition operation,quick speed,occupy a little memory and suitable for removing the still image data redundancy than the generally small wave transform.It is specially suited for the situation which is lossless compression and benefits the hardware realization for the future.According to the analysis of the capability of arithmetic coding and SPIHT coding arithmetic in the existent literature,it studies arithmetic coding and SPIHT coding arithmetic based on IWT.According to the shortcomings and advantages of the above arithmetic, the thesis puts forward the improved omnibus coder arithmetic based on differential pulse code modulation (DPCM) and IWT. Adopting Visual C++6.0 to programme this project,the result simulated indicates:using the improved arithmetic of the paper the most images'compression ratio is not only advanced, but also the images decoded can have reconstructed really, it carry out better the lossless compression.