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A Multi-source Image Fusion Framework Supporting Parameters Optimization

JIANG Shao-hua;TANG Wen-sheng;Institute of Image Recognition and Computer Vision,Hunan Normal University;  
The multi-source image fusion is one of the hotspots in image processing in recent decades. There are many different image fusion algorithms and fusion rules, but all these fusion algorithms have their advantages and disadvantages. So, it indeed needs an image fusion framework which can automatically determine the suitable algorithm and fusion rules according to the purpose of application. Based on the status quo, a fusion framework is presented. This framework can adapt to various algorithms and various fusion strategies, and can automatically determine the fusion algorithm, the fusion parameters and fusion rules according to the practical purposes of application. The strategies and rules to eliminate the ambiguity of fusion results are put forward. The rigorous mathematical form definition of these rules is given also. A simple instance system is developed to demonstrate the feasibility of the study conclusion.
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