low-cost small-power-consumption self-adaptive real-time image defogging method based on brightness prior

The invention belongs to the technical field of embedded computer video processing, and particularly relates to a low-cost low-power-consumption self-adaptive real-time image defogging method based onbrightness prior. Fog scene images in various video formats can be defogged in real time through operations of video detection, format conversion, color space conversion, brightness prior, brightnesslookup table generation, brightness mapping, format reduction and the like. Video formats in embedded fields of video monitoring, aerospace and the like are different, and high real-time performance,low cost and low power consumption are required. Therefore, the method solves the problems that an existing defogging method is high in implementation cost, high in power consumption, poor in real-time performance, lack of adaptivity and incapable of being widely applied to the embedded field. 本发明属于嵌入式计算机视频处理技术领域，特别是涉及种基于亮度先验的低成本小功耗自适应实时图像去雾方法。通过视频侦测，格式转换、色彩空间变换，亮度先验、亮度查找表生成、亮度映射、格式还原等操作可对各种视频格式的雾景图像进行实时去雾处理。视频监控、航空航天等嵌入式领