CHEN Long,CHEN Ziwei,ZHU Meiji,et al.Real-time Image Defogging System based on FPGA[J].Journal of Chengdu University of Information Technology,2021,36(02):138-142.[doi:10.16836/j.cnki.jcuit.2021.02.002]
基于FPGA的实时图像去雾系统
- Title:
- Real-time Image Defogging System based on FPGA
- 文章编号:
- 2096-1618(2021)02-0138-05
- 分类号:
- TP391.41
- 文献标志码:
- A
- 摘要:
- 自动驾驶汽车要求准确的环境信息来执行对场景的理解,从而做出准确无误的判断和严格的执行。雾作为影响汽车驾驶最危险的天气现象之一,会导致视频图像信息中的颜色和对比度发生很大的改变。通过估计大气光幕的值和大气光强的值,采用基于环境光照估计的去雾算法,设计开发了基于FPGA的实时去雾系统。该系统充分发挥FPGA并行处理的优势,通过硬件描述语言完成该算法在FPGA平台上的实现,能够较为真实地恢复无雾、清晰的图像,并能够达到实时不卡顿的效果。
- Abstract:
- Autonomous vehicles are required by accurate environmental information that help to finish an understanding of the scene, then make accurate judgment and implement strict. Fog is one of the most dangerous weather phenomena which results in the change of color and contrast in video image information. Therefore, a real-time defogging system based on FPGA was designed and developed in this paper, which used defogging algorithm based on environmental illumination estimation by estimating the atmospheric veil and sky intensity in the image. The system makes full use of the characteristics of FPGA parallel processing data, and implements the algorithm on the FPGA platform through the hardware description language, and restores the fog-free and clear image more realistically, and can achieve the effect of real-time non-stuttering.
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备注/Memo
收稿日期:2020-03-28
基金项目:四川省教育厅科学研究重点资助项目(18ZA0088); 四川省科技计划重点研发资助项目(2019YFG0126)