Comprehensive multi-exposure high-dynamic image reconstruction effect evaluation method

The invention discloses a comprehensive multi-exposure high-dynamic image reconstruction effect evaluation method, and relates to the technical field of image processing. According to the invention, single factor indexes such as the information entropy, the average gradient, the moderate exposure, the interactive information amount, the structural similarity and the cross entropy are taken into consideration, and a comprehensive evaluation index is obtained by applying a fuzzy comprehensive evaluation method, thereby not only overcoming the one-sidedness of single indexes, but also being capable of reflecting small changes of the single factor indexes at the same time. According to the method, it strives to enable subjective (visual) evaluation and objective evaluation for an image fusionresult to be combined, so that the evaluation result is enabled to be more systemic, more comprehensive and more effective. 本发明公开了种综合的多曝光高动态图像重建效果评价方法，涉及图像处理技术领域，考虑了图像的信息熵、平均梯度、适度曝光量、交互信息量、结构相似度和交叉熵等单因素指标，运用模糊综合评判法得到个综合评价指标，克