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| An Adaptive Method of Image CompressionBased on Wavelet Analysis | |
| 作者姓名： | Xu Hao Dept. of Biomedical Engineering Shanghai Jiaotong University P. R. China Yu Jun Dept. of Computer and Engineering Hangzhou University of Commerce P. R. China Yao Min Dept. of Computer Zhejiang University Hangzhou P. R. |
| 作者单位： | Xu Hao Dept. of Biomedical Engineering，Shanghai Jiaotong University，200030，P. R. China Yu Jun Dept. of Computer and Engineering，Hangzhou University of Commerce，310035，P. R. China Yao Min Dept. of Computer，Zhejiang University，Hangzhou 310028，P. R. |
| 摘 要： | 1. INTroDUCTIONIn recellt years, the research on image compression and coding using wavelet transform has become a very hottOPic. It is because wavelet analysis has freedom retractility in the field of frequency. When the band of signal' is narrowl we can zoom in the resolution in order to express the signal exactly. If the band is wide, we can zoomOat the resolutinn to create the need of signal processing. Therefore.the method of wavelet analysis has a strongadaptability, and it isn't l… |
An Adaptive Method of Image Compression Based on Wavelet Analysis |
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| Xu Hao Dept. of Biomedical Engineering,Shanghai Jiaotong University,,P. R. China Yu Jun Dept. of Computer and Engineering,Hangzhou University of Commerce,,P. R. China Yao Min Dept. of Computer,Zhejiang University,Hangzhou ,P. R..An Adaptive Method of Image CompressionBased on Wavelet Analysis[J].Journal of Systems Engineering and Electronics,2001,12(1). | |
| Authors: | Xu Hao Yu Jun Yao Min |
| Institution: | 1. Dept. of Biomedical Engineering, Shanghai Jiaotong University, 2. Dept. of Computer and Engineering, Hangzhou University of Commerce, 3. Dept. of Computer, Zhejiang University, |
| Abstract: | Through research for image compression based on wavelet analysis in recent years, we put forward an adaptive wavelet decomposition strategy. Whether subimages are to be decomposed or not are decided by their energy defined by certain criterion. Then we derive the adaptive wavelet decomposition tree (AWDT) and the way of adjustable compression ratio. According to the feature of AWDT, this paper also deals with the strategies which are used to handle different sub-images in the procedure of quantification and coding of the wavelet coefficients. Through experiments, not only the algorithm in the paper can adapt to various images, but also the quality of recovered image is improved though compression ratio is higher and adjustable. When their compression ratios are near, the quality of subjective vision and PSNR of the algorithm are better than those of JPEG algorithm. |
| Keywords: | Image compression and coding Adaptive wavelet transform (AWT) Adaptive wavelet decomposition tree (AWDT) |
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