| 基于小波变换的多聚焦图像融合算法 |
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| 引用本文： | 赵立强,杨大志,周艳红,向 洁. 基于小波变换的多聚焦图像融合算法[J]. 计算机工程与应用, 2015, 51(23): 184-188 |
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| 作者姓名： | 赵立强 杨大志 周艳红 向 洁 |
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| 作者单位： | 河北科技师范学院 数学与信息科技学院，河北 秦皇岛 066004 |
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| 摘 要： | 针对基于小波变换的多聚焦图像融合算法，改进融合规则和融合算子，低频分量采用以相关系数作为阈值的加权平均算法，高频分量采用基于区域特征的融合算法，并对最佳分解层数与最佳小波基的选取进行优化验证。通过对实验结果的分析，选用bior4.4小波，进行最佳分解层数小波分解，并应用改进的融合规则，在融合多聚焦图像的效果上，与其他多种融合算法相比，各项评价指标都比较理想。
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| 关 键 词： | 多聚焦图像融合 小波变换 小波基 融合规则 |
Multi-focus image fusion algorithm based on wavelet transform |
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| ZHAO Liqiang,YANG Dazhi,ZHOU Yanhong,XIANG Jie. Multi-focus image fusion algorithm based on wavelet transform[J]. Computer Engineering and Applications, 2015, 51(23): 184-188 |
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| Authors: | ZHAO Liqiang YANG Dazhi ZHOU Yanhong XIANG Jie |
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| Affiliation: | School of Mathematics and Information Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei 066004, China |
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| Abstract: | In view of multi-focus image fusion algorithm, fusion rules and fusion operators are improved. The low-frequency component uses the weighted average algorithm with correlation coefficient as threshold, the high-frequency component uses fusion algorithm based on regional characteristics. In addition, the optimal decomposition level and the selection of the best wavelet basis are verified. The evaluation indexes of multi-focus image fusion based on improved fusion rules and bior4.4 wavelet with optimal decomposition level, through the analysis of experimental results, are better than many other fusion algorithm. |
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| Keywords: | multi-focus image fusion wavelet transform wavelet basis fusion rules |
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