Image Fusion

In this post you will get a basic idea of what basically Image Fusion is and how the research is being done on this topic.             The term fusion means in general an approach to extraction of information acquired in several domains. The goal of image fusion is to integrate complementary multisensor, multitemporal and multiview information into one new image containing information of such quality which cannot be achieved otherwise. The term quality, its meaning and measurement depend on the particular application.            You will get this point when we will see the applications of Image Fusion. THE EVOLUTION OF IMAGE FUSION RESEARCH           ➢The first evolution of image fusion research is simple image fusion, which perform the basic pixel by pixel related operations like addition, subtraction, average and division. Normally fusion techniques rely on simple pixel operations on the i...

In previous post we saw introduction of Image Fusion and Evolution of Image Fusion Research. So let's move towards the main topic of discussion that is the Methods using which Image Fusion can be done. IMAGE FUSION METHODS           There are various image fusion methods available, but the point is that every new method is based on the common characteristics on basics method. The good image fusion method has the following properties.  First, it can preserve most of the useful information of different images.  Second, it  does not produce artifacts which can distract or mislead a human observer or any subsequent image processing steps.  Third it must be reliable and robust. Finally it should not discard any salient information contained in any of the input images. These are some basic image fusion methods. Intensity-Hue-Saturation (IHS) Image Fusion Method IHS method is a common way of fusing high spatial resolution, single...

In this post let's see some important applications of Image fusion. Image Fusion has become a very useful and commonly used technology to increase the visual interpretation of the images in various fields like medical diagnosis, robotics, military and surveillance and so on. It has been also used in many different fields such as object identification, classification and change detection. The department of Defense community focuses on problems involving the location, characterization and identification of dynamic entities such as emitters, platforms, weapons and military units. Some Department of Defense (DoD) related applications include ocean surveillance, air-to-air defense, battlefield intelligence, surveillance and target acquisition, and strategic warning and defense. Each of these military applications involves a particular focus, a sensor suite and a unique set of challenges. These below images will give you a better idea of how Image Fusion is used in various fiel...