数字图像融合是对多幅源图像的信息进行综合,以获得对某一地区或目标更准确、更全面和更可靠的描述,从而有利于图像后续的分析和理解,如图像分割,分类和目标的检测,识别.该文给出了数字图像融合的形成及其发展过程,比较了不同层次图像融合的特点,重点阐述了图像融合方法的新进展,总结了目前被研究者广泛采用的图像融合效果评价指标,提出了把图像融合机理和融合目的考虑在内的融合模型,并对图像融合目前存在问题以及未来的发展进行了展望.
Digital image fusion is a comprehensive information of the multiple source images in order to obtain more accurate, more comprehensive and more reliable description for a particular region or target, so that it can facilitate the subsequent analysis and understanding of the image, such as image segmentation, classification and target detection and identification.In this paper, it mentions the formation and development process of digital image fusion, compare characteristics of the different level image fusion, focuses on the new progress of the image fusion method and summarizes the current fusion evaluating results widey used by researchers .The fusion model taking mechanism of the image fusion and fusion into account is comed up with .In addtion, we look into the future development and the current problems of digital image fusion.