基于ZYNQ的可见光除雾系统设计实现
Bohan Liu1,2, Qihai Wei1,2, Kun Ding1
1Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
本研究介绍了基于ZYNQ平台的图像除雾系统,该系统可以在雾条件下提高可见性. 这种新的方法改进了大气光和透射率的估计,提高了实时应用的图像质量.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 嵌入式系统 嵌入式系统
背景情况:
- 雾环境通过降低对比度和失去信息来降低图像质量.
- 现有的脱雾系统经常受到高成本和低实时性能的影响.
研究的目的:
- 在ZYNQ平台上设计和实施一个高效的实时图像除雾系统.
- 克服传统除雾算法的局限性,提高输出图像质量.
主要方法:
- 开发了一种天空细分算法,以完善大气光和透射率估计.
- 整合色彩平衡后脱雾,以提高图像质量.
- 利用 ZYNQ 平台 (FPGA) 的可编程逻辑 (PL) 功能进行并行处理.
主要成果:
- 该系统有效地消除雾,显著改善图像对比度和清晰度.
- 实现了大气参数的准确估计,最大限度地减少了天空区域的扭曲.
- 实施的系统展示了实时处理能力.
结论:
- 基于ZYNQ的脱雾系统为雾状图像增强提供了具有成本效益和实时的解决方案.
- 提出的天空细分和色彩平衡方法提高了除雾性能.
- 该系统满足在恶劣天气条件下实时视频处理的实际要求.
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