图像融合技术综述

Karishma C Bhataria, Bhumika Shah
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引用次数: 19

摘要

将两幅或两幅以上图像混合,产生合成融合图像的技术。融合后的图像具有所有显著信息,是原始图像的升级版。目前的应用程序大多使用这种融合图像来加快各自领域的处理任务。最近需要图像融合的实时应用有遥感应用、医疗应用、监控应用、摄影应用等。图像融合技术大致分为非变换域或空间域和变换域或频域。本文首先介绍了图像融合。第二部分解释了融合的层次。第三部分解释了通用的图像融合策略。进一步的章节详细阐述了图像融合技术的分类和他们的比较表列出了所有的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Image Fusion Techniques
The technique of blending two images or more than two images which produces outcome as the composite fused image. The obtained fused image is the upgraded version of original images because it has all the salient information. The present applications makes majority usage of this fused image to speed up their processing tasks in their respective fields. Recent real-time applications which require image fusion are remote sensing applications, medical applications, surveillance application, photography applications etc. The broad categorization of image fusion techniques are Non-transform domain or spatial domain and Transform domain or frequency domain. This paper initiates with the introduction of image fusion. In the second section it explains the levels of fusion. The third section explains generic image fusion strategy. Further sections elaborates the taxonomy of image fusion techniques and their comparative tables lists all the merits and demerits of the same.
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