一种创新的方法来消除红外图像中的条纹噪声
Xiaohang Zhao1,2, Mingxuan Li1, Ting Nie1
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
一种新的多层次图像分解方法有效地消除了红外图像中的条纹噪声. 这种方法保留了关键的纹理细节,优于传统的无色化技术.
科学领域:
- 红外成像技术是红外成像技术.
- 图像处理和计算机视觉
背景情况:
- 红外探测器读取回路可能会引起条纹噪声,降低图像质量.
- 现有的染方法难以保存基本的图像信息.
研究的目的:
- 开发一种先进的方法来消除红外图像中的条纹噪声.
- 为了提高在消噪过程中的纹理和边缘信息的保存.
主要方法:
- 提出了一种基于改进的LatLRR (MIDILatLRR) 的多层次图像分解方法.
- 利用全球低级属性来实现噪声和信息分解的顺利.
- 适应性地将纹理信息分解成突出部分的图像.
- 采用多分散约束表示 (MSCR) 和ADMM用于条纹噪声建模和计算.
主要成果:
- 该MIDILatLRR方法有效地将条纹噪声和光滑信息分解为低级组件.
- 与传统方法相比,纹理和边缘信息得到更好的保存.
- 实验性比较表明在主观和客观评估中表现优越.
结论:
- 拟议的MIDILatLRR算法在红外图像中消除条纹噪声方面非常有效.
- 该方法通过保留细节,显著提高图像质量.
- 在最先进的拒绝算法上表现出优越性.
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