The concept of multi-band infrared color vision is discussed in terms of combining two or more bands of infrared imagery into a single composite color image. This work is motivated by emerging new technologies in which two or more infrared bands are simultaneously imaged for improved discrimination of objects from backgrounds. One of the current objectives of this work is to quantify the improvement obtained over single band infrared imagery to detect dim targets in clutter. Methods are discussed for mapping raw image data into an appropriate color space and then processing it to achieve an intuitively meaningful color display for a human viewer. In this regard, the final imagery should provide good color contrast between objects and backgrounds and consistent colors regardless of environmental conditions such as solar illumination and variations in surface temperature. Initial performance measures show that infrared color can improve discrimination significantly over single band imaging.


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    Title :

    Infrared color vision: separating objects from backgrounds



    Conference:

    Infrared Detectors and Focal Plane Arrays V ; 1998 ; Orlando,FL,USA


    Published in:

    Publication date :

    1998-07-22





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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