关键词: 大气物理模型, RGB通道, 暗原色, 容差阈值

Abstract: Due to scattering of atmospheric light and attenuation of incident light, the quality of images captured under foggy conditions will be reduced exponentially to the scene depth. In order to improve the visual effect of the degraded image, this paper makes use of the dark channel to estimate the air light. According to the strength of RGB channel, then, the scene depth map is estimated from a single fog image. Moreover, this paper introduces a tolerance threshold in the bright region to avoid the error estimates of the scene depth. A bilateral filter with edge-preserving is utilized to further process the scene depth map. A clear image can be recovered based on the atmospheric scattering model. Experiment results show that the proposed improved algorithm can enhance the visibility of fog-degraded images effectively.

Key words: atmospheric scattering model, RGB channel, dark channel, tolerance threshold