Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (23): 184-188.
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ZHAO Liqiang, YANG Dazhi, ZHOU Yanhong, XIANG Jie
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赵立强,杨大志,周艳红,向 洁
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.
Key words: multi-focus image fusion, wavelet transform, wavelet basis, fusion rules
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。
关键词: 多聚焦图像融合, 小波变换, 小波基, 融合规则
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.
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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http://cea.ceaj.org/EN/Y2015/V51/I23/184