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Infrared dim target detection based on image fusion

Infrared imaging system has been used widely for its ability of working day and night. The performance of dim target detection is one important performance guideline for many applications, such as surveillance system, alarm system, searching and rescuing system, and so on. Multi-spectral infrared image fusion could help to get more information by complementing difference from different wave band images. One method was proposed to realize the dim target detection based on image fusion by using one character filter in transformational domain in the process of image fusion to enhance target and constrain background in fused image. The experimental results demonstrate that proposed method increased the ratio of target-to-background in fused image, and improved the probability of target detection and reduced the probability of false alarm on noisy infrared images.