| 小波变换在图像数据压缩中的应用 |
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| 引用本文： | 陈耀明. 小波变换在图像数据压缩中的应用[J]. 现代电子技术, 2007, 30(6): 136-138 |
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| 作者姓名： | 陈耀明 |
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| 作者单位： | 信息产业部电子西北区域计量站,陕西西安,710068 |
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| 摘 要： | 小波变换的图像编码方法,不仅拥有传统编码的优点,能够消除图像中的统计冗余,并且,其多分辨率的特性提供了消除非统计冗余信息的良好机制。基于离散小波变换(DWT)理论,介绍了DWT在数字图像压缩中的应用,使用零树编码实现了数字图像压缩,并同时保持原图像在各种分辨率下的精细结构,该方法对消除图像中非统计冗余信息提供了有效途径。
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| 关 键 词： | 小波变换 图像压缩 Mallat算法 零树编码 |
| 文章编号： | 1004-373X(2007)06-136-03 |
| 修稿时间： | 2006-07-27 |
Application of Wavelet Transform in Image Data Compression |
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| CHEN Yaoming. Application of Wavelet Transform in Image Data Compression[J]. Modern Electronic Technique, 2007, 30(6): 136-138 |
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| Authors: | CHEN Yaoming |
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| Abstract: | The method of coding based on wavelet transform not only has the traits of tradition method,which can be used to remove the statistic redundancy in image,but also can be used to remove the un-statistic redundancy within an image.The basic research and algorithm of Discrete Wavelet Transform(DWT) are discussed in this paper.Some applications for image compress is introduced in this paper too.After detailed analysis of the structure of two-dimensional discrete wavelet transform and Zero trees transform,this paper proposes implementation of image compression application based on Zero trees of DWT. |
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| Keywords: | wavelet transform image compression Mallat algorithm zero tree coding |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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