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。
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。
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