Infrared Image Non-Uniformity Correction Algorithm Based on Integration Time and Scene

Affected by the process and material limitations of infrared focal plane array devices, fringe non-uniform noise often occurs in infrared images, and the change of integration time will aggravate the image non-uniformity due to the difference in pixel response, and the change of scene information will further affect the imaging quality. To this end, this paper proposes an adaptive non-uniformity correction algorithm for infrared images. Firstly, it calculates the gain and offset for the current integration time through piecewise interpolation, achieving real-time compensation for changes in integration time. Secondly, it dynamically updates the offset parameters according to scene changes to reduce image non-uniformity. Experiments show that this algorithm can effectively suppress non-uniform noise, reducing the non-uniformity of infrared images by 75.2%, and adaptively adjusting correction parameters to ensure stable quality of the corrected images.