基于波形域噪声分离的单红外图像不均性纠正
Mingqing Li1,2, Yuqing Wang1, Haijiang Sun1
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究引入了一种使用波形域噪声分离的红外图像非均性校正 (NUC) 的新方法. 它有效地消除高频和低频噪声,改善要求高的应用程序的图像质量.
科学领域:
- 红外成像技术 红外成像技术
- 图像处理 图像处理
- 信号处理 信号处理
背景情况:
- 目前用于红外成像的非均性校正 (NUC) 方法经常忽视低频噪声,并遭受幽灵工件的影响.
- 现有的技术主要集中在高频条纹噪声上,损害了整体图像质量.
研究的目的:
- 提出一种新的单红外图像非均性纠正方法.
- 通过结合低频噪声校正和减少幽灵声来解决现有的NUC技术的局限性.
主要方法:
- 使用波形变换将图像分解成频率组件.
- 从垂直波纹组件中提取高频噪声的集群算法.
- 表面配件用于从近似波纹组件捕获低频噪声.
- 噪声组件减去用于图像恢复.
主要成果:
- 拟议的方法在模拟图像上实现了最佳的平均平方误差 (MSE),峰值信号噪声比 (PSNR) 和结构相似度指数 (SSIM) 测量.
- 现实世界的红外图像序列显示,平均不均指数减少了75.54%.
- 该方法证明了高效的处理与低计算开销.
结论:
- 波形域噪声分离方法有效地纠正单个红外中的不均性.
- 该技术通过解决高频和低频噪声,显著提高图像质量.
- 该方法适用于具有严格质量和速度要求的实时红外成像应用.
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