图像融合---简单认识图像融合
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Image fusion - Simply recognize image fusion
概念
图像融合（Image Fusion）是指将多源信道所采集到的关于同一目标的图像数据经过图像处理和计算机技术等，最大限度的提取各自信道中的有利信息，最后综合成高质量的图像，以提高图像信息的利用率、改善计算机解译精度和可靠性、提升原始图像的空间分辨率和光谱分辨率，利于监测。
- Image Fusion, Image Fusion) refers to the source channel more of the same target collected by the Image data through Image processing and computer technology, the extraction of maximum beneficial information in each channel, and finally integrated into high quality images, in order to improve the utilization rate of the Image information, improve computer interpretation accuracy and reliability, improve the spatial resolution and spectral resolution of the original Image, for monitoring.
特点
明显的改善单一传感器的不足，提高结果图像的清晰度及信息包含量，有利于更为准确、更为可靠、更为全面地获取目标或场景的信息。
- It can obviously improve the deficiency of a single sensor and improve the clarity and packet content of the resulting image, which is conducive to more accurate, more reliable and more comprehensive acquisition of the target or scene information.
图像融合应用场景
主要应用于军事国防上、遥感方面、医学图像处理、机器人、安全和监控、生物监测等领域。用于较多也较成熟的是红外和可见光的融合，在一副图像上显示多种信息，突出目标。
由于实际应用的需求，图像融合的源图像实际上可以有多种类型。不同种类的源图像具有自身比较独特的性质，因此，图像融合发生的场景将会对图像融合产生较大的影响。现在图像融合应用场景主流的有如下四类：
1.可见光图像——红外图像融合
红外传感器通常对热效应造成的红外辐射比较敏感，在黑暗或者复杂背景中，能够较好探查发热物体，与此同此，其也经常忽视环境中不发热的背景信息。而可见光传感器能够有效感知环境信息的特性，正好与红外互补。
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Mainly used in military defense, remote sensing, medical image processing, robotics, security and monitoring, biological monitoring and other fields.More and more mature for infrared and visible light fusion, display a variety of information on an image, highlight the target.
Due to practical application requirements, the source images of image fusion can actually be of various types.Different types of source images have their own unique properties, so the scene of image fusion will have a great impact on image fusion.At present, there are four main types of image fusion application scenes:
1. Visible image -- infrared image fusion
Infrared sensors are usually sensitive to infrared radiation caused by thermal effect. In dark or complex background, they can better detect hot objects. Meanwhile, they often ignore the background information of no heating in the environment.The visible light sensor can effectively perceive environmental information, which is just complementary with infrared.
图像融合方案框架
图像融合方案框架现阶段主要有两大类：一类是多尺度分解框架下的融合，一类是稀疏框架下的融合。其中，每类框架又包含有多种不同的方法，除此之外还存在着不同的流程，这些都会极大的影响图像融合的效果。
- There are two main types of image fusion scheme frameworks at this stage: one is the fusion under the multi-scale decomposition framework, and the other is the fusion under the sparse framework.Among them, each type of framework contains a variety of different methods, in addition to the existence of a different flow, which will greatly affect the effect of image fusion.
IRimage:
VISimage:
FusionImage: