圖像融合---簡單認識圖像融合
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Image fusion - Simply recognize image fusion
概念
圖像融合（Image Fusion）是指將多源信道所採集到的關於同一目標的圖像數據經過圖像處理和計算機技術等，最大限度的提取各自信道中的有利信息，最後綜合成高質量的圖像，以提高圖像信息的利用率、改善計算機解譯精度和可靠性、提升原始圖像的空間分辨率和光譜分辨率，利於監測。
- 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.
特點
明顯的改善單一傳感器的不足，提高結果圖像的清晰度及信息包含量，有利於更爲準確、更爲可靠、更爲全面地獲取目標或場景的信息。
- 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.
圖像融合應用場景
主要應用於軍事國防上、遙感方面、醫學圖像處理、機器人、安全和監控、生物監測等領域。用於較多也較成熟的是紅外和可見光的融合，在一副圖像上顯示多種信息，突出目標。
由於實際應用的需求，圖像融合的源圖像實際上可以有多種類型。不同種類的源圖像具有自身比較獨特的性質，因此，圖像融合發生的場景將會對圖像融合產生較大的影響。現在圖像融合應用場景主流的有如下四類：
1.可見光圖像——紅外圖像融合
紅外傳感器通常對熱效應造成的紅外輻射比較敏感，在黑暗或者複雜背景中，能夠較好探查發熱物體，與此同此，其也經常忽視環境中不發熱的背景信息。而可見光傳感器能夠有效感知環境信息的特性，正好與紅外互補。
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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.
圖像融合方案框架
圖像融合方案框架現階段主要有兩大類：一類是多尺度分解框架下的融合，一類是稀疏框架下的融合。其中，每類框架又包含有多種不同的方法，除此之外還存在着不同的流程，這些都會極大的影響圖像融合的效果。
- 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:
