在空中热辐射图像中的对比度增强方法基于循环多尺度照明自我相似性和梯度感知规范化
Optics express
|February 1, 2024
概括
这项研究引入了一种通过减少热辐射效应来改善红外 (IR) 成像的新方法. 循环多尺度照明自我相似性和梯度感知规范化解决方案 (CMIS-GPR) 增强图像对比度,并纠正强度偏差.
科学领域:
- 航空航天工程是航空航天工程.
- 图像处理 图像处理
- 光学科学 光学科学
背景情况:
- 热辐射显著降低了航空航天应用中的红外 (IR) 探测器成像质量.
- 现有的方法有效地减少强度偏差,但与对比度增强和密集强度校正扎.
- 当地和全球的密集强度区域对当前的图像处理技术构成挑战.
研究的目的:
- 为受热辐射影响的红外图像开发一种先进的对比度增强方法.
- 解决现有方法在纠正密集强度和改善整体图像质量的局限性.
- 提出一种结合循环多尺度照明自我相似性和梯度感知规范化 (CMIS-GPR) 的新方法.
主要方法:
- 渐变感知规范化 (GPR) 溶解器将退化图像分解为高对比度,无偏差的组件.
- 循环多尺度照明自我相似性 (CMIS) 模型通过代地去除偏差层来解决密集的强度区域.
- 两阶段的方法:CMIS用于粗度校正,其次是GPR用于微调和对比度增强.
主要成果:
- 拟议的CMIS-GPR方法有效地纠正强度偏差,并增强红外图像的对比度.
- 在处理本地和全球密集强度区域方面表现出优于现有方法的优势.
- 在真实和模拟数据上的实验验证证证了该方法的有效性.
结论:
- 通过减轻热辐射效应,CMIS-GPR提供了一种强大的解决方案,以改善航空航天领域的红外图像质量.
- 综合方法有效地应对高密度地区带来的挑战,这是先前技术的局限性.
- 该方法显示了对于需要高保真度红外成像的应用具有重大潜力.
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