基于高斯模型与自适应大气光幕的图像去雾算法  

An Image Defogging Algorithm Based on Gaussian Model and Adaptive Atmospheric Light Curtain

作　　者：舒仝 杨燕[1] SHU Tong;YANG Yan(Lanzhou Jiaotong University,Lanzhou 730000,China)

机构地区：[1]兰州交通大学,兰州730000

出　　处：《电光与控制》2024年第1期40-45,共6页Electronics Optics & Control

基　　金：国家自然科学基金(61561030);甘肃省高等学校产业支撑计划项目(2021CYZC-04);甘肃省教育厅优秀研究生“创新之星”项目(2022CXZX-548)。

摘　　要：单幅图像去雾被广泛应用于户外光学图像采集设备,针对现有算法去雾不彻底、偏色的问题,提出了一种基于高斯模型与自适应大气光幕的去雾算法。首先,通过离散余弦变换分离出有雾图像的低频分量,并且利用低频分量和大气光幕的线性关系结合高斯函数,提出一个自适应大气光幕求取模型,获得初始大气光幕;随后,结合伽马校正构造一个含有未知参数的优化函数,并对大气散射模型施加平均饱和度先验,获得最终的自适应大气光幕;最后,通过大气散射模型获得清晰无雾图像。实验表明,该算法与一些经典和先进算法相比较,具有很强的泛用性,复原结果清晰、颜色自然,在一些客观评价指标上也优于其他对比算法。Single-image defogging is widely used in outdoor optical image acquisition equipment.To solve the problems of incomplete defogging and color bias of the existing methods,an image defogging algorithm based on Gaussian model and adaptive atmospheric light curtain is proposed.Firstly,the low-frequency components of the foggy image are separated by discrete cosine transformation,and then the linear relationship between the low-frequency components and the atmospheric light curtain and the Gaussian function are used to establish an adaptive atmospheric light curtain acquisition model to obtain the initial atmospheric light curtain.Then,an optimization function with unknown parameters is constructed by using Gamma correction,and the average saturation prior is applied to the atmospheric scattering model,and the final adaptive atmospheric light curtain is obtained.Finally,a clear fog-free image is obtained by using the atmospheric scattering model.The experiments show that,compared with several classical and advanced algorithms,the proposed algorithm has stronger versatility and is superior to other comparison algorithms on several indicators in objective evaluation,and the restoration results are clearer with natural color.

关 键 词：大气光幕 高斯函数 局部大气光 低频分量 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]