Introduction
Image fusion is the process of combining relevant information in two or more images of a scene into a single
highly informative image. Depending on what is considered relevant information, the images can be combined
differently. Image Fusion Systems Research has developed a software system for fusing multi-exposure images.
It is rather impossible to obtain a single image of a 3-D scene where all parts of the scene appear well-exposed.
Details in under-exposed and over-exposed image areas may not be visible. Each local area in the scene may
require a different shutter speed to capture the details. This software combines a set of multi-exposure images
of a scene obtained by a camera into a single image where all image areas appear well exposed. An example is
given in Fig. 1.


Fig. 1. (a) - (e) Five images of an outdoor scene obtained at different exposures. (f) Image obtained by fusing
the five images. If an area is under (or over) exposed in all images, that area will also appear under (or over)
exposed in the fused image.
This image fusion software reads in a set of images and combines them into a single highly informative image.
The relevant information used to combine the images is entropy.
To obtain a license for this multi-exposure image fusion software, follow this link =>
Multi-exposure image fusion
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Image Fusion Systems Research
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