Image Processing Reference
Fusion in Image Processing
In the same way as the previous chapter described the specificities of fusion tech-
niques applied to signal processing, this chapter will focus on the specificities of fusion
in image processing. We will go back to the general definitions provided in Chapter 1
and discuss them in this particular context. We wish to emphasize the specific nature
of images and their representation in fusion problems, and insist on what makes fusion
in image processing different from most of the other application fields in fusion.
3.1. Objectives of fusion in image processing
Images appeared of course very early on as important sources of information for
existing information fusion systems and data fusion systems have used images. Let us
consider, for example, a comprehensive tracking application for ecological situations.
It requires remote sensing to provide weather information. The data provided by the
image can then be integrated in a physical model by estimating, for each pixel, the
cloud cover. We can include in a thermodynamics balance equation the level of water
vapor estimated this way for each point inside the image.
However, this is not the type of application that has led to the original field of
image fusion . We should look instead at the practice of image interpretation experts,
where we will find the models that image processors have tried to copy, from widely
different areas of society. Here are two examples, but we could easily find many other
and more diverse cases.