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克服红外线性阵列中的周期条纹噪声 图像:富里埃辅助相对否定方法
Weicong Chen1,2,3, Bohan Li1,2,3
1Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
富里埃辅助的相对排斥 (FACD) 有效地消除红外线性阵列探测器中的周期性条纹噪声. 这种新的方法提高了高级成像应用的图像质量和信号噪声比.
科学领域:
- 红外技术是红外技术.
- 图像处理 图像处理
- 信号分析 信号分析
背景情况:
- 红外线性阵列探测器经常因电机干扰而遭受垂直,低频,周期性条纹噪声.
- 这种特定的噪声模式表现出长周期和柱状方向,使传统的过方法无效.
- 在关键的红外成像应用中,这种噪声的存在会降低整体图像质量.
研究的目的:
- 引入一种新的无声化技术,即福里埃辅助相对无声化 (Fourier-Assisted Correlative Denoising,简称FACD),专门用于红外线性阵列探测器中周期性条纹噪声.
- 为了解决传统过方法在处理低频,长周期噪声方面的局限性.
- 为了提高受这种干扰影响的红外图像的信号噪声比和稳定性.
主要方法:
- 在非均校正阶段捕获含有周期性噪声的纯背景图像.
- 从噪声的频域属性中提取一个一维的单周期噪声信号.
- 细分红外图像,计算每个细分的单维信号,并使用与空间域无声化基准模式的相关性.
主要成果:
- 经验评估表明,FACD的性能优于当代的无雾化技术.
- 通过FACD,峰值信号与噪声的比率提高了大约2.5dB.
- 该方法快速揭露了高分辨率红外线性阵列扫描.
结论:
- FACD是针对红外线性阵列探测器中特定周期性条纹噪声的一种强大而有效的以关联为中心的无声化方法.
- 该技术满足了先进的红外扫描系统的实时和分辨率要求.
- 在红外成像中,FACD可显著提高图像质量和信号完整性.
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