Infrared image non-uniformity correction method for multi-segment coefficient self-adaptive switching

Abstract

The invention provides an infrared image non-uniformity correction method for multi-segment coefficient self-adaptive switching of an infrared detector when the infrared detector observes a ground scene with small temperature difference. According to the method, a near-linear response area of an infrared detector is subdivided, a real response curve of the detector is approached through linear fitting of multiple coefficients, and adaptive switching of the multiple coefficients is completed under the condition of no human intervention through temperature overlapping of subdivided segments, real-time statistics of scene information and reasonable setting of a switching threshold value. In this way, correction errors caused by response nonlinearity of the detector can be effectively reduced,correction precision is improved, image interruption, flickering and other phenomena caused by frequent switching of coefficients can be avoided, and good engineering practicability is achieved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an infrared image non-uniform correction method for self-adaptive switching of multi-segment coefficients. Background technique [0002] Infrared focal plane detectors are affected by materials, processes and the environment. There is non-uniformity in the response of each array unit of the infrared focal plane array, which will lead to a significant decline in the performance of the infrared imaging system, so that it is difficult to meet the needs of the infrared imaging system. Requirements, so the infrared focal plane array used in the project adopts non-uniformity correction technology. [0003] The traditional two-point calibration algorithm is based on the idealized assumption that the response of infrared focal plane array elements is linear, but it is not the case in reality. For the part with large non-uniformity or far away from the calibration point, the remai...

AI Technical Summary

Problems solved by technology

However, in the actual engineering application process, it is found that this method will cause frequent switching of integration time when the scene changes close to the boundary of temperature switching, and then image interruption, flickering and other phenomena will occur. Therefore, this method is suitable for detectors that need to observe the sky, A variety of complex scenes with large temperature differences such as the ground and half-day and half-earth, but it is not suitable for ground-to-ground scenes where the detector only needs to observe a small temperature difference

The near-linear segment response area of ​​the detector’s optimal integration time can cover the ground-to-ground scene with a small temperature difference. If the detector only needs to observe the ground-to-ground scene with a small temperature difference, adjusting the integration time will cause the detector’s response deviation High or low and affect imaging performance

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