图像融合研究现状综述

Xinman Zhang, Jiayu Zhang, Jie Kou, Xuebin Xu
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引用次数: 1

摘要

随着计算机技术、传感器技术和信息处理技术的发展,图像融合作为信息融合的有力工具,在自动目标识别、军事和医学图像等领域得到了广泛的应用。该技术利用每张图像所含信息优势的互补性,通过一定的算法对同一场景进行清晰、全面、准确的图像描述。本文首先对图像融合方法的研究现状进行了全面的综述。其次,对现有的均匀性和非均匀性融合方法进行了总结。第三,介绍了几个评价指标。最后,指出了当前图像融合研究中存在的问题。总之,在未来的几年里,图像融合的研究仍将有很大的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Status of Image Fusion: A Review
With the development of computer technology, sensor technology and information processing technology, image fusion, as a powerful tool of information fusion, has been widely used in automatic target recognition, military and medical image fields. This technology utilizes the complementarity of information advantages contained in each image to obtain a clear, comprehensive and accurate image description of the same scene through a certain algorithm. In this paper, we firstly summarized the research status of image fusion methods comprehensively. Secondly, the existing fusion methods of homogeneity and heterogeneity are summarized. Thirdly, several evaluation indexes are introduced. Finally, this paper points out the current problems of image fusion. In a word, the research of image fusion will still have a great development in the next few years.
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