摘要
基于FPGA设计与实现视频图像实时去雾系统。该系统基于暗原色去雾模型,直接估算雾的浓度并恢复出高质量的去雾图像,具有并行运算能力强、接口逻辑丰富等特性,为构建实时、便携的视频图像实时去雾系统提供了一种有效、可行的解决方案。实验结果表明,通过合理的硬件架构设计,该系统完全可达到视频去雾的实时处理。
FPGA-based design and real-time haze removal system of video Image system is implemented. The system is based on the dark channel pri- or fog model. By estimating the concentration of the fog,the haze image is restored. Experimental results show that the real-time haze removal system of video Image system achieves lending itself to the reasonable hardware architecture design.
出处
《电视技术》
北大核心
2013年第7期6-8,共3页
Video Engineering
基金
吉林省科技厅资助项目(20100312)
关键词
暗原色先验
去雾
FPGA
实时
dark channel prior
haze removal
FPGA
real-time
