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多聚焦图像融合的最佳小波分解层研究 被引量:22

Study on optimal wavelet decomposition level for multi-focus image fusion
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摘要 小波变换应用于多聚焦图像融合时分解层数的选取是一个关键问题。根据区域标准偏差最小准则对小波变换后的高、低频图像分别进行融合。利用峰值信噪比、偏差度、熵等标准对融合结果进行评价。对比实验结果表明,多聚焦图像融合的最佳小波分解层数为5层。 Selection of decomposition level is a key problem when wavelet transform is applied to multi-focus image fusion. Fusion for high-frequency and low-frequency images is carried out, respectively according to root mean standard error rule based on region. The fusion results are evaluated by using the parameters such as peak signal-noise-ratio, departure and entropy. The comparison experiments show that the optimal wavelet decomposition level for multi-focus image fusion of 5 levels.
机构地区 暨南大学物理系
出处 《光电工程》 CAS CSCD 北大核心 2004年第3期64-67,共4页 Opto-Electronic Engineering
基金 暨南大学自然科学基金资助项目
关键词 图像融合 分解层数 小波变换 Image fusion Decomposition level Wavelet transform
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