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通过使用RGF和CLAHE进行多尺度FPGA基础的红外图像增强
Jialong Liu1, Xichuan Zhou1, Zhenlong Wan2
1The School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
本研究介绍了一种基于FPGA的新方法,用于实时红外图像增强. 该技术有效地提高了图像对比度和细节,为关键应用实现了高速处理.
科学领域:
- 图像处理 图像处理
- 计算机视觉 计算机视觉 计算机视觉
- 嵌入式系统 嵌入式系统
背景情况:
- 红外传感器对于监控,自动驾驶和医疗诊断至关重要,在各种天气条件下运行.
- 红外图像具有低对比度和模糊的纹理,阻碍视觉分析.
- 现有的增强算法是计算密集型的,具有挑战性的实时处理.
研究的目的:
- 开发一种基于FPGA的多尺度实时红外图像增强方法.
- 为了应对红外图像中低对比度和模糊纹理的挑战.
- 为了提高红外图像的视觉质量和细节,用于实际应用.
主要方法:
- 使用滚动指导过器 (RGF) 进行红外图像的多尺度分解.
- 细节层的融合与增强系数的增强和使用CLAHE的基层对比度的增强.
- 在FPGA上实施拟议的算法,使用高级合成工具进行实时处理.
主要成果:
- 拟议的方法显著改善了图像对比度,并增强了详细信息.
- 实时增强在147 FPS实现640 × 480红外图像的实时增强.
- 在AXU15EG板上证明了有效性.
结论:
- 开发的基于FPGA的方法为实时红外图像增强提供了有效的解决方案.
- RGF和CLAHE的组合成功地解决了对比度和细节问题.
- 高速处理能力使该方法适用于苛刻的应用.
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