图像多尺度分解的融合策略是提升融合图像质量的关键. 为了充分利用图像多尺度分解过程中的信息，提出了利用图像质量评价参数进行图像融合的策略. 该策略主要分为两部分：在近似图像融合的策略中，利用上一分解层图像信息对应的显著性特征来构造当前层图像融合所需的权重；在细节图像的融合策略中，则引入空间频率、对比度来确定细节图像的选取. 实验表明，该文所提出的融合策略与目前常见的融合策略相比，所获得的主观视觉效果和客观参数评价效果均较好.

The fusion strategy of multi-scale image decomposition is the key point to improve the image fusion. To make full use of the information in the progress of multi-scale image decomposition, an image fusion strategy combined with image quality evaluation is proposed. This strategy includes two parts: first, the salient feature in the last level instead of current level is used to construct the weight which is necessary for the fusion of current level’s approximation images; second, the parameters of the image quality measurement such as spatial frequency and contrast are introduced for the fusion of detail images. The experiment demonstrates that, compared with current common fusion rules, the proposed fusion strategy has improved the quality of the fused image in subjective aspect as well in objective aspect.