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    基于积分时间和场景的自适应红外图像非均匀校正技术

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

    • 摘要: 红外图像常出现条纹非均匀噪声,且积分时间变化会因像元响应差异加剧图像非均匀性,场景信息变化也会进一步影响成像质量。为此,提出了一种自适应红外图像非均匀校正算法:首先通过分段插值计算当前积分时间下的增益和偏置,实现对积分时间变化的实时补偿;其次根据场景变化动态更新偏置参数,降低图像非均匀性。实验表明,该算法能有效抑制非均匀噪声,使红外图像的非均匀性降低75.2%,并自适应调整校正参数,确保校正后图像质量稳定。

       

      Abstract: 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.

       

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