| 红外成像非均匀性校正算法研究 |
| 投稿时间：2024-07-13 修订日期：2024-07-30 点此下载全文 |
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| 中文摘要:盲元以及非均匀性噪声的存在会导致红外图像的成像质量大幅下降，针对此问题，设计了一种红外图像非均匀性校正算法。首先，介绍了两点校正算法的原理；其次对盲元的定义以及传统常用盲元检测方法和盲元补偿方法进行分析，在此基础上提出了梯度阈值盲元检测法，通过计算所有相邻像元间的灰度差值得到盲元的判断阈值；然后采用改进的邻域代替法进行盲元补偿，并将上述算法用于某自研中波红外相机中。最后设计对黑体成像实验，分别将本文盲元检测和补偿算法与现阶段常用方法进行比较，对比校正前后图像的成像质量以及非均匀性指标，结果表明，本文非均匀性校正算法可有效抑制盲元及噪声，校正后图像的非均匀性下降了65%，图像质量明显提高，可满足该自研中波红外相机的工作需求。 |
| 中文关键词:红外图像 非均匀性校正 盲元检测 盲元补偿 |
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| Research on Nonuniformity Correction algorithm for Infrared Imaging |
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| Abstract:The presence of blind elements and non-uniform noise can significantly reduce the imaging quality of infrared images. To address this problem, a non-uniform correction method is designed. First, the theory of the two-point correction method is introduced; secondly, the definition of blind elements and the traditional blind element detection method and blind element compensation method are analyzed. On this basis, the gradient threshold blind element detection method is proposed. By calculating all adjacent grayscale difference between pixels is used to obtain the blind element judgment threshold; then an improved neighborhood substitution method is used to compensate for blind elements, and the above algorithm is used in a self-developed mid-wave infrared camera. Finally, a blackbody imaging experiment is designed to compare the blind element detection and compensation algorithms proposed in this paper with commonly used methods at present, and to compare the imaging quality and non-uniformity indicators of the images before and after correction.The results indicate that the non-uniformity correction method proposed in this paper has a good suppression effect on bad points and noise. The non-uniformity of the corrected image is reduced by 65%. The quality has been significantly improved and can meet the working needs of this self-developed mid-wave infrared camera. |
| keywords:infrared image non-uniformity correction blind element detection blind element compensation |
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