| 二维小波分析在图像处理中的应用研究 |
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| 引用本文： | 高殿武,顾泽元.二维小波分析在图像处理中的应用研究[J].黑龙江科技学院学报,2001,11(4):32-34,41. |
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| 作者姓名： | 高殿武 顾泽元 |
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| 作者单位： | 黑龙江科技学院计算机与信息工程系, |
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| 摘 要： | 分析了二维离散小波分离情况分解与重构的实际算法，研究了算法在图像压缩，图像消噪，图像增强和图像融合中的方法并分析了应用实例。结果表明，应用该算法可以获得较大的图像压缩比，有效去除图像中的高斯白噪声，成功地进行图像增强和图像融合。
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| 关 键 词： | 二维小波 分解 重构 图像压缩 图像消噪 图像增强 图像融合 图像处理 |
| 文章编号： | 1671-0118(2001)-0032-04 |
A Study on Applications of 2-dimension Wavelet Analysis to lmage Processing |
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| GAO Dianwu,GU Zeyuan.A Study on Applications of 2-dimension Wavelet Analysis to lmage Processing[J].Journal of Heilongjiang Institute of Science and Technology,2001,11(4):32-34,41. |
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| Authors: | GAO Dianwu GU Zeyuan |
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| Abstract: | In this paper, the practical arithmetic approach of resolving and re-comprising is analyzed. A study is presented about how to apply the arithmetic to image compressing, removing o image noise, image enhancing and image merging, and some examples of the application are analyzed. As the results show, larger compressing ratio of image. The effective removal of Gauss white noise and successful enhancing and merging of images can be obtained by the application of this arithmetic approach. |
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| Keywords: | dimension wavelet resolving re-comprising image compressing removing of image noise image enhancing image merging |
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