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| 整型小波变换应用于遥感图像无损压缩 | |
| 引用本文： | 毋立芳,张晓玲,沈兰荪.整型小波变换应用于遥感图像无损压缩[J].遥感技术与应用,2000,15(3):175-178. |
| 作者姓名： | 毋立芳 张晓玲 沈兰荪 |
| 作者单位： | (北京工业大学信号与信息处理研究室 北京 100022) |
| 摘 要： | 基于“提升”(Lifting)算法实现整型小波变换(IWT),然后将图像变换到小波域,用零树编码 和算术编码相结合的方式对图像进行无损压缩,并针对遥感图像波段之间的相关性进行了谱间预 测。最后进行了一些相关实验,实验证明将IWT应用于遥感图像无损压缩是有效的。 |
| 关 键 词： | 整型小波变换 零树编码 遥感图像 无损压缩 |
| 收稿时间： | 2000-05-15 |
Lossless Compression of Remote Sensing Image Using Integer Wavelet Transform |
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| WU Li-fang,ZHANG Xiao-ling,SHEN Lan-sun.Lossless Compression of Remote Sensing Image Using Integer Wavelet Transform[J].Remote Sensing Technology and Application,2000,15(3):175-178. | |
| Authors: | WU Li-fang ZHANG Xiao-ling SHEN Lan-sun |
| Affiliation: | (Signal and Information Processing Laboratory,Beijing Polytechnic University,Beijing100022,China) |
| Abstract: | By“lifting”scheme, we can get Integer Wavelet Transforms(IWT) which are important for lossless compression of image. Based on the idea, we can get the coefficients for reversible integer wavelet transforms, then encode this coefficients by zero-tree coding and arithmetic coding .Finally we compare the experimental results with the best JPEG, It can be seen that IWT can be used in remote sensing image lossless compression efficiently. |
| Keywords: | Integer wavelet transform Zero\|tree coding Remote sensing image Lossless compression |
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