红外, 2012, 33 (6): 7, 网络出版: 2012-07-02
红外与可见光图像融合质量评价方法综述
Overview of Quality Evaluation Methods of Fused Infrared and Visible Images
图像融合 图像质量评价 人类视觉系统 结构相似度 image fusion image quality evaluation human visual system structural similarity
摘要
图像融合质量评价标准是目前图像融合中急需解决的问题之一。在不同的应用场景中，选择适当的融合算法对现有融合 算法进行改进以及研究新的融合算法都是至关重要的。综述了无参考图像的客观质量评价方法，重点介绍了基于结构信息的图像融合质量评价方法，最 后探讨了图像融合质量评价方法的发展趋势。
Abstract
Quality evaluation of fused images is one of the problems to be solved badly in image fusion at present. In different scenes, both choosing proper fusion algorithms to improve the existing fusion algorithm and studying new fusion algorithms are very important. The objective quality evaluation methods with no reference are overviewed. The image fusion quality evaluation method based on structural similarity is described. Finally, the development trend of image fusion quality evaluation methods is discussed.
王跃华, 陶忠祥. 红外与可见光图像融合质量评价方法综述[J]. 红外, 2012, 33(6): 7. WANG Yue-hua, TAO Zhong-xiang. Overview of Quality Evaluation Methods of Fused Infrared and Visible Images[J]. INFRARED, 2012, 33(6): 7.
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