红外运动模糊图像的非均匀校正方法

A Method for Non-Uniformity Correction of Infrared Motion-Blurred Images

  • 摘要: 红外焦平面阵列传感器因制作工艺与材料限制,其探测单元在接收相同强度红外光时响应不一致,导致生成图像中存在显著的非均匀性噪声。为有效抑制该噪声,本文提出一种基于运动模糊图像的红外非均匀性校正算法。该算法利用红外运动模糊图像的特性,通过滑动窗口技术分离图像中的非均匀性噪声与场景信息,并基于分离出的噪声特征实现图像校正。实验结果表明,经本文算法校正后的图像,其非均匀性指标较原始图像显著降低了4.2%,有效提升了红外图像的成像质量。

     

    Abstract: Owing to the limitations of the manufacturing process and materials, the response of each detection unit of infrared focal plane arrays (IRFPA) is inconsistent when receiving the same intensity of infrared light, causing the generated images to contain significant non-uniform noise. This study proposes an algorithm for correcting infrared non-uniformity based on motion-blurred images. The sliding window is used to separate the non-uniform noise and the image scene information on the infrared motion-blurred image, and image correction is realized using the noise information. The experimental results show that the nonuniformity of the corrected image is reduced by 4.2% compared to that of the original image, which greatly improves the image nonuniformity.

     

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