一个基于现场可编程门阵列的自适应清晰高动态范围融合算法,用于实时视频流
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Hongchuan Huang1, Yang Xu1, Tingyu Zhao1
1Zhejiang Key Laboratory of Quantum State Control and Optical Field Manipulation, Department of Physics, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了使用FPGA和自适应算法实时高动态范围 (HDR) 图像融合方法. 它将图像位深度提高到16位,在动态条件下提高视频流的保真度.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 硬件加速器 硬件加速器
背景情况:
- 传统的高动态范围 (HDR) 图像融合需要多次曝光,阻碍实时视频处理.
- 现有的方法产生有限比特深度的HDR图像,导致带化工件并降低应用性.
研究的目的:
- 开发适合视频流的实时HDR图像融合算法.
- 为了提高图像保真度和比特深度,克服传统方法的局限性.
- 在动态照明条件下实现高质量的HDR成像.
主要方法:
- 使用现场可编程门阵列 (FPGA) 与清晰HDR模式的图像传感器,同时捕获高转换收益 (HCG) 和低转换收益 (LCG) 图像.
- 实现了实时融合的自适应调整算法,优化了基于图像亮度和读音噪声的参数.
- 合成的HDR图像增加了比特深度 (12至16位) 以改善细节的保存.
主要成果:
- 在2688×1520分辨率的视频流中实现了每秒46的实时处理.
- 成功地将图像的比特深度提高到16位,有效地减轻带带工件.
- 在动态照明条件下表现出稳定的亮度和高保真度.
结论:
- 拟议的基于FPGA的实时HDR融合方法与自适应优化为视频流提供了强大的解决方案.
- 增强的比特深度和工件减少显著提高了专业应用的图像质量.
- 该算法非常适合用于诸如监视和工业检查之类的动态场景.
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