| 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 |
| 引用本文：康琦,许洪刚,韩冰,马洪涛.红外成像非均匀性校正算法研究[J].红外,2025,46(1):16~22 |
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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；然后对盲元的定义以及传统的常用盲元检测方法和盲元补偿方法进行了分析，并在此基础上提出了梯度阈值盲元检测法，即通过计算所有相邻像元之间的灰度差值得到盲元的判断阈值；接着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；最后设计对黑体的成像实验，分别将本文盲元检测、补偿算法与现阶段的常用方法进行比较，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，本文提出的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 Non-Uniformity Correction Algorithm for Infrared Imaging |
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| Abstract:The existence of blind pixels and non-uniform noise will lead to a significant decrease in the imaging quality of infrared images. Aiming at this problem, a non-uniformity correction algorithm for infrared images is designed. First, the principle of the two-point correction algorithm is introduced. Then the definition of blind pixels and the traditional commonly used blind pixel detection method and blind pixel compensation method are analyzed. On this basis, a gradient threshold blind pixel detection method is proposed, that is, the judgment threshold of the blind pixel is obtained by calculating the grayscale difference between all adjacent pixels. Subsequently, the improved neighborhood substitution method is used for blind pixel compensation, and the above algorithm is used in a self-developed mid-wave infrared camera. Finally, an imaging experiment of a blackbody is designed, and the blind pixel detection and compensation algorithms proposed in this paper are compared with the commonly used methods at this stage, and the imaging quality and non-uniformity indicators of the images before and after correction are compared. The results show that the non-uniformity correction algorithm proposed in this paper can effectively suppress blind pixels and noise, the non-uniformity of the corrected image is reduced by 65%, and the image quality is significantly improved, which can meet the working requirements of the self-developed mid-wave infrared camera. |
| keywords:infrared image non-uniformity correction blind pixel detection blind pixel compensation |
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