| Image compression is the base of the image storage, processing and transmission. It plays an important part in many fields, for example, communication, media storage and data transmission, etc. The paper focuses on researching the un-decimated Anti-Symmetrical Biorthogonal Wavelet (ASBW) transform and the second generation coding based on Human Visual System (HVS) and its realization by programming.Based on the property that people's eyes are susceptive to the image edge, it emphasized to research how to detect edge effectively and how to reconstruct signal from the information of the edge only. Firstly, it clarified the basic properties of biorthogonal wavelet and the ASBW's approximate derivative property. Based on these, it proposed the method that signal is done un-decimated wavelet transform using ASBW, which not only has the translation invariance property of the dyadic wavelet, but also has the linear phase property and the biorthogonality between the analysis and synthesis filters of the biorthogonal wavelet, than the multiscale edge can be obtained. Secondly, it proposed two algorithms that used the multiscale edge to fit the wavelet coefficients. Finally, it summarized the basic frame of the image compression based on the ASBW, and gave the experimental results. |
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