针对去雾过程中的偏色及去雾不彻底等问题,提出了一种基于雾度分布与自适应线性衰减的图像去雾算法。从雾天图像退化本质以及雾度与透射率呈负相关的特性出发,提出了一种自适应线性衰减模型以完成清晰图像暗通道的估计,并得到了透射率。根据大气光仅能反映亮度信息的特性,利用雾度分布对局部大气光进行改进,并结合大气散射模型得到了去雾结果。实验表明,所提算法去雾彻底、颜色自然、亮度适宜,在主客观评价中均取得了令人满意的结果。

Aiming at the problems of color cast and incomplete dehazing in dehazing process, an image dehazing algorithm based on haze distribution and adaptive linear attenuation is proposed. Based on the nature of hazy image degradation and the negative correlation between haze and transmittance, an adaptive linear attenuation model is proposed to estimate the dark channel of clear image, and the transmittance is obtained. According to the characteristic that atmospheric light can only reflect brightness information, the haze distribution can be used to improve the local atmospheric light, and the dehazing result can be obtained by atmospheric scattering model. The experimental results show that the proposed algorithm has the advantages of thorough dehazing, natural color and suitable brightness, and has achieved satisfactory results in both subjective and objective evaluation.