New temporal high-pass filter non-uniformity correction algorithm based on change detection

The spatial non-uniformity in the photo-response of the detectors in the array on the focal-plane array (FPA) Infrared imaging systems restricted the infrared applications. In this paper, we improve the method of temporal high-pass filter for the complex real scene sequence. Firstly, it adopts the one point non-uniformity correction algorithm which calibrates the FPA at distinct temperatures by use of flat-field data generated from a black-body radiation source. It realized simply and it compensated for the spatial non-uniformity coarsely. After this step, the convergent time of the temporal high-pass algorithm was reduced, and the grade of ghost-shading was alleviated. And then, we analyze the pixels of images and classify them to two categories. One is the changed pixels, another is the stillness pixels. For different kinds of pixels, deal with different strategies. For the changed pixels, estimate the offset with the temporal high-pass filter algorithm. For the stillness pixels, estimate the offset with the iterative steps. This strategy reduced the grade of scene-vanishing when scene was stillness, and the grade of ghost-shading when target moving fast after stillness. Testing on the real infrared image sequence, the experiments showed that this method was very promising.