提出了一种多分辨奇异值分解(MSVD)的新框架,并把它应用于多聚焦图像融合中.基于分块算法原理,利用奇异值分解获得具有不同分辨率的一幅近似和三幅细节图像.结合重构算法,给出了图像的融合框架.对比基于离散小波变换(DWT)的融合算法,基于MSVD的融合效果更好,而且MSVD的基向量只依赖于图像本身而不像小波需要固定的基.采用客观性能指标对结果图像进行评价.实验结果表明,提出的方法不仅简单易行,而且图像表现出良好的视觉效果,清晰度和空间频率都有很大提高.
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