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基于二维小波分解的图像压缩方法
引用本文:刘红霞,吴宏建,李跃华.基于二维小波分解的图像压缩方法[J].陶瓷科学与艺术,2000(6).
作者姓名:刘红霞  吴宏建  李跃华
作者单位:南京化工大学信息工程学院!南京,210009,南京化工大学信息工程学院!南京,210009,南京化工大学信息工程学院!南京,210009
摘    要:基于二维小波分解的图像压缩方法 ,给出了二维正交小波基的构造原理 ,并将二维Mallat算法用于图像压缩处理 ,取得了满意的结果。表明小波分解是实现图像压缩的一种十分有效的工具

关 键 词:小波变换  图像处理  信号处理  数据压缩

IMAGE COMPRESS BASED ON 2-D WAVELET DECOMPOSITION
Liu hongxia Wu Hongjian Li Yuehua College of Information Science and Engineering,Nanjing University of Chemical Technology,Nanjing,China.IMAGE COMPRESS BASED ON 2-D WAVELET DECOMPOSITION[J].Ceramics Science & Art,2000(6).
Authors:Liu hongxia Wu Hongjian Li Yuehua College of Information Science and Engineering  Nanjing University of Chemical Technology  Nanjing    China
Affiliation:Liu hongxia Wu Hongjian Li Yuehua College of Information Science and Engineering,Nanjing University of Chemical Technology,Nanjing,210009,China
Abstract:The method of image compress based on 2-D wavelet decomposition was studied. Construction of the 2-D orthonormal wavelet was discussed. The image was compressed with 2-D Mallat algorithms The experimental results showed that wavelet decomposition in image compress,is efficient and reliable.
Keywords:wavelet transformation  image processing  signal processing  data compress  
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