Middle-wave band infrared imagers and long -wave band infrared imagers have their own advantage and disadvantage under different scenario. Nowadays, the infrared imaging detection system has been developed to the third generation: dual/multi band infrared imager. For a dual/multi band infrared imager, image fusion is a significant research topic. The core of dual band infrared image fusion is to integrate corresponding information from different band infrared imager into a new image. We proposed a new image fusion technology for middle-band infrared image and long-wave infrared image. This technology firstly extracts elementary image semantic, and fuses middle-band infrared image and long-wave infrared image in terms of their elementary image semantic, and then colors the new fusion image in terms of the response characteristics of the scenario in different bands. Finally, the experiment shows the effectiveness of our fusion technology.
Infrared cameras can benefit the extended dynamic range by changing the integration time, especially for infrared high dynamic range imaging. But many proposed non-uniformity correction methods based on the two-point correction model incur a degradation of image quality when the integration time changes from the calibrating values. The paper describes a linear infrared camera response model and uses it to analyze the failure of the two-point correction method when change integration time. The analysis result reveals that, with the linear response model, the two-point correction offset parameter needs to be updated according to the immediate integration time, and calculated by a linear equation. Thus, the non-uniformity correction method with the ability to vary the integration time arbitrarily is proposed. To reduce the impact of the nonlinearity in real response and the temporal noise on computing the correction parameters, a parameter calculation method is also proposed of using multiple images of different temperature uniform references under different integration times. The correction effect under arbitrary integration time of the proposed method is verified by correcting images of an extended-area blackbody from 5°C to 100°C covering a wide range of the integration times from 0.4ms to 26ms. The mean value of the non-uniformity of all blackbody images corrected by our method can reach about 0.1%.
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