In order to evaluate the quality of fused image, the merit and defect of every fusion method, there must be a set of objective and overall evaluation indexes in theory.
为了评价融合影像质量和各种融合方法的优缺点，理论上必须具备一套客观的、全面的评价指标。
An image fusion algorithm using transform and taking the evaluation of effect as feedback, using the algorithm in multi-focus image fusion, can get a fused image that all targets are more clearer.
基于小波变换的并以效果评价为反馈的图像融合算法，将其用于多聚焦图像融合中，能够一次就得到各个目标都比较清晰的融合图像。
Using these evaluation criteria, we study how the number of decomposition levels, different fusion rules or the size of region for measure influence the image fusion performance.
文中建立了几种评价方法和准则，利用这些评价准则，研究了分解层数、不同融合规则以及特性区域大小对融合性能的影响。
Fusion image is the creation of at least two source's image, in airspace or frequency domain based on certain rules of portfolio, and Create a brand new image, at last evaluation the image.
创建融合图像是对至少两幅源图像，在空域或频域根据一定的规则加以组合，创建一个全新的图像；最后就是对融合图像的质量进行评价。
Results from objective evaluation methods without requiring the reference image and visual effects show that the image fusion scheme based on double match measure is effective.
实验从无需基准融合图像的客观评价方法和视觉效果两个方面表明双匹配度融合策略是一种有效的图像融合策略。
The methods of the evaluation of image fusion, which includes: entropy, cross entropy, mutual information, mean square error, root mean square error, peak-to-peak signal-to-noise ratio were presented.
介绍了图像融合的各种评价方法，包括：熵、交叉熵、交互信息量、均方误差、均方根误差、峰值信噪比。
This paper proposed an evaluation model for different source image fusion quality to resolve the limitations of single factor index on the quality evaluation.
针对单一因素指标对图像融合质量评价的局限性，提出了一种异源图像融合质量评价模型。
Quantitatively assessment of the image fusion performance is an important and a complicated issue. Several evaluation criteria are presented in this dissertation.
定量地评价图像融合性能是一项重要而复杂的工作。
The research on image fusion has a lot of aspects, such as fusion algorithms, fusion rules, fusion quality evaluation and the types of images.
针对图像融合的研究有很多方向，比如融合算法、融合规则、融合质量评价和融合图像的类型等。
Performance evaluation is a very important issue, it play the guiding role in the image fusion algorithm.
图像融合结果的性能评估是一个极其重要的问题，对图像融合算法具有指导作用。
This paper analyzes and classifies objective evaluation indices of image fusion of SAR and optical image.
本文研究了SAR与可见光图像融合效果的客观评价指标，并对这些指标进行了分类。
This paper analyzes and classifies objective evaluation indices of image fusion of SAR and optical image.
本文研究了SAR与可见光图像融合效果的客观评价指标，并对这些指标进行了分类。
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