| 粗糙集与小波变换在图像融合中的应用 |
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| 引用本文： | 赵国滨,那彦. 粗糙集与小波变换在图像融合中的应用[J]. 电子科技, 2011, 24(4): 36-39 |
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| 作者姓名： | 赵国滨 那彦 |
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| 作者单位： | (西安电子科技大学 电子工程学院,陕西 西安 710071) |
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| 摘 要： | 针对含有椒盐噪声的多聚焦图像,提出了一种基于粗糙集和小波变换的图像融合算法.首先对源图像进行粗糙增强预处理,再采用小波变换对增强后的图像进行融合,得到融合图像.实验结果表明,粗糙增强在有效去除噪声的同时,较好发保持了图像细节信息,在此基础上进行小波融合,使得融合图像有着更好的视觉效果.
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| 关 键 词： | 粗糙集 小波变换 图像融合 |
Application of Rough Sets and Wavelet Transformation to Image Fusion |
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| Zhao Guobin,Na Yan. Application of Rough Sets and Wavelet Transformation to Image Fusion[J]. Electronic Science and Technology, 2011, 24(4): 36-39 |
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| Authors: | Zhao Guobin Na Yan |
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| Affiliation: | (School of Electronic Engineering,Xidian University,Xi'an 710071,China) |
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| Abstract: | An image fusion algorithm using rough sets and wavelet transformation is proposed for multi-focus images contaminated by pepper-salt noise.First,source images are enhanced by the rough sets theory,and then the images are fused using wavelet transformation to get the fusion image.The experiment result shows that the rough sets enhancement can remove noise and preserve details of the images effectively.On the basis of this,wavelet fusion is done,enabling the fused image to have better visual effect. |
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| Keywords: | rough sets wavelet transformation image fusion |
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