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基于离散多小波变换的多聚焦图像融合方法 被引量:2

Multi-focus Image Fusion Using Discrete Multiwavelet Transform
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摘要 多小波是小波理论的扩展,多小波变换能够为图像分析提供一种比小波多分辨率更加精细的方法。利用多小波将两幅图像进行融合后得到的融合图像,能够很好地将原图像的细节融合在一起。在研究离散多小波图像分析法基础上,提出了一种基于离散多小波变换的多聚焦图像融合方法。试验结果表明,该方法能够很好地解决多聚焦图像融合问题,具有良好的融合特性,得到的融合图像效果优于传统图像融合方法。 Multiwavelet is an extension form wavelet theory,it can offer a more precise way for image analysis than wavelet multi-resolution analysis. Throgh fusing two multi-focus images by method based on multiwavelet analysis,we get fused pictures,the method can fuse details of input images successfully. We study discrete rhilltiwavelet analysis on image and data and give a fusion method in pixel level by means of discrete multiwavelet transform in the paper.Experimental results show that the proposed method outperforms traditional wavelet transform method for multi-focus image fusion.
作者 刘国权 姚毅
出处 《四川理工学院学报(自然科学版)》 CAS 2007年第5期39-44,共6页 Journal of Sichuan University of Science & Engineering(Natural Science Edition)
关键词 离散多小波变换 图像融合 多聚焦图像 融合方法 discrete multiwavelet transform image fusion multi-focus image fusion method
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