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基于小波变换的图像信号分解研究
引用本文:熊思民 李天蓉. 基于小波变换的图像信号分解研究[J]. 重庆邮电学院学报(自然科学版), 1996, 8(1): 15-22
作者姓名:熊思民 李天蓉
作者单位:重庆邮电学院电信工程系
摘    要:本文通过对小波变换多分辨分析特性的介绍,讨论了基于小波基分解的滤波器组设计原理,给出了静止图像数据的树形分解的方法和分解结果,结果表明,树形分解后,可有效压缩数据动态范围,便于采用适当的量化方式,结合其它非线性编码,达到较高的压缩比。

关 键 词:图像编码 小波变换 图像信号分解 图像通信

Study of Image Decomposition Based on Wavelet Transform
Xiong Simin, Li Tianrong, Li Xiaoping. Study of Image Decomposition Based on Wavelet Transform[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition), 1996, 8(1): 15-22
Authors:Xiong Simin   Li Tianrong   Li Xiaoping
Abstract:By introducing the multiresolution characteristics of wavelet transform, the requirements for designing filter banks, which are based on wavelet decomposition, have been discussed in the paper. This kind of filter bands have been applied to decompose several still pictures into a kind of tree structure. The result of the decomposition demonstrates that the dynamic range of the raw data has been decreased greatly, which indicates that once a certain quantilization method along with nonlinear code is adopted, a great compression rate can be obtained.
Keywords:s: image coding   wavelet transform   compression   signal decomposition
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