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Real-time implementation of visible and infrared image fusion and new measure based on spectral information

The image fusion system has the benefit of having simultaneous multi-spectral data available to the user. In this paper, we describe how to implement real-time fusion of visible and infrared image in a hardware system. In this system, we use a CCD detector and a uncooled microbolometer focal plane arrays as the imaging detector. Image registration and image fusion algorithm based on weighted pixel average is realized in real-time image processor. With experiment images, analysis of reflectance and radiation characters of objects in image is given then, on the base of which we get the spectrum distribution of some objects in fusion image. It leads to a study on a new measure of spectral information of image. A definition of spectral information quality is given for the first time and a formula is discussed. We can get the conclusion that: Measure on spectral information quality is significative in image fusion. The ultimate reason for increase of information in fusion image is the increase of spectral information.