| 基于形态非抽样小波的实时图像融合方法 |
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| 引用本文： | 邓苗,张基宏,柳伟,梁永生. 基于形态非抽样小波的实时图像融合方法[J]. 计算机应用, 2012, 32(10): 2809-2813. DOI: 10.3724/SP.J.1087.2012.02809 |
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| 作者姓名： | 邓苗 张基宏 柳伟 梁永生 |
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| 作者单位： | 1. 深圳大学 信息工程学院,广东 深圳 5180602. 深圳信息职业技术学院 可视媒体处理与传输深圳市重点实验室,广东 深圳 5180293. 广东深圳信息职业技术学院 |
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| 基金项目： | 国家自然科学基金资助项目(61271420);广东省自然科学基金资助项目(S2012020011034) |
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| 摘 要： | 提出一种适合实时图像融合的形态非抽样小波(MUDW)变换,该变换采用膨胀和腐蚀操作的平均值作为分解过程中的分析算子,以相邻尺度图像之间的差作为细节图像,使尺度刻画更精细,细节描述更准确；采用随尺度增加而大小递增的结构元素,使尺度间差异更大,应用于图像融合可得到更好的图像融合效果。相比现有的实时图像融合方法,因为膨胀和腐蚀操作的便捷性,所以具有更高的实时性。通过实验证明了该方法具有良好的多尺度分解特性,取得了更好的融合效果；进一步在重构时设立增强因子能显著增强融合图像的效果。因此,在实时图像融合上具有较强的应用价值。
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| 关 键 词： | 形态小波 图像融合 非抽样 多尺度 实时性 |
| 收稿时间： | 2012-04-10 |
| 修稿时间： | 2012-05-15 |
Real-time image fusion based on morphological un-decimated wavelets |
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| DENG Miao,ZHANG Ji-hong,LIU Wei,LIANG Yong-sheng. Real-time image fusion based on morphological un-decimated wavelets[J]. Journal of Computer Applications, 2012, 32(10): 2809-2813. DOI: 10.3724/SP.J.1087.2012.02809 |
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| Authors: | DENG Miao ZHANG Ji-hong LIU Wei LIANG Yong-sheng |
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| Affiliation: | 1. College of Information Engineering, Shenzhen University, Shenzhen Guangdong 518060, China2. Shenzhen Key Laboratory of Visual Media Processing and Transmission Shenzhen, Institute of Information Technology, Shenzhen Guangdong 518029, China3. 4. Shenzhen Key Laboratory of Visual Media Processing and Transmission Shenzhen, Institute of Information Technology, Shenzhen Guangdong 518029, China |
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| Abstract: | An efficient Morphological Un-Decimated Wavelet(MUDW) transform with more delicate and accurate multi-scale decomposition performance that suites real-time image fusion was proposed.It took the average of dilation and erosion as the analysis operator,and the difference of adjacent scale images as the detail image.Size-increasing structure elements were adopted to get better fusion result.Due to the simplicity of dilation and erosion operator,computation time is shorter than other real-time algorithms.Furthermore,a factor was added during reconstruction,to obtain an obvious enhancement effect.The experimental results show that the new method outperforms other real-time algorithms. |
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| Keywords: | morphological wavelet image fusion un-decimated multi-scale real-time |
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