一个适应权重的剩余引导算法,用于高分辨率红外线扫描图像的不均性纠正
Mingsheng Huang1,2, Weicong Chen1,2, Yaohua Zhu1,2
1University of Chinese Academy of Sciences, Beijing 100049, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
一个新的红外非统一性校正算法使用剩余引导和自适应加权来减少条纹噪声. 在实时应用中,这种方法通过保存细节和有效抑制噪音来提高图像质量.
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:
- 红外探测器的增益和偏差不均性会导致水平条纹噪声,降低图像质量.
- 现有的非统一性校正方法在有效的细节保护和噪声抑制方面扎.
研究的目的:
- 为红外线扫描探测器开发一种新的非均性校正算法.
- 与当前的方法相比,改进除尘性能和细节保存.
- 在复杂场景中确保高效和实时适用性.
主要方法:
- 一个双向导机制,结合了剩余和原始图像.
- 代补偿策略和局部加权线性回归用于增强消噪.
- 使用局部方差进行动态重量调整,以在复杂场景中进行高效的校正.
主要成果:
- 拟议的算法显著提高了denoising和细节的保存.
- 在峰值信号噪声比率 (PSNR) 和结构相似性 (SSIM) 度量方面,其性能优于主流算法.
- 在细节保护和噪音抑制之间实现了最佳平衡.
结论:
- 这种新的算法有效地纠正了不均性,并减少了红外图像中的条纹噪声.
- 它在复杂场景中提供强大的性能,适合实时,高分辨率的红外成像.
- 该方法通过先进的无雾化和细节保存技术实现了卓越的图像质量.
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