夜间图像去雾算法研究现状与展望

Research Status and Prospect of Night Image Dehazing Algorithm

夜间图像去雾技术已经成为图像处理技术领域的重要研究内容,在目标跟踪探测、视频监控、遥感等方面有着重要的意义。夜间有雾图像通常具有对比度低、光照不均匀、颜色偏移等特点,这些特点使得夜间图像去雾面临着极大的挑战。通过调研近年来夜间图像去雾算法的国内外研究现状,从物理模型、非物理模型和深度学习的角度对其中比较经典的算法进行了归纳总结,详细阐述了算法的流程以及优缺点。最后,对夜间去雾算法的未来研究方向进行了展望。

Night image dehazing technology has become an important research content in the field of image processing technology.It has important significance for target tracking detection,video surveillance,remote sensing and so on.Haze images at night usually have the characteristics of low contrast,uneven illumination,color offset,etc.,which makes haze removal for night images face great challenges.Through summarizing the research status of night image de-fogging algorithms at home and abroad in recent years,the classical algorithms from the perspective of the physical model,nonphysical model and deep learning are summarized,and the algorithm process,advantages and disadvantages are elaborated.Finally,the future research direction of the night fog removal algorithm is prospected.