 The precision in evaluating global ambient light is crucial for image de-hazing technologies, but many approaches for quantifying atmospheric light intensity suffer from inaccuracies, leading to decreased de-hazing effectiveness. To address this challenge, an approach for estimating atmospheric light based on polarization contrast between the sky and scene is introduced, enhancing the precision of atmospheric light estimation and enabling more accurate identification of sky regions within images. The original dark channel de-hazing algorithm is adapted using this innovative technique to develop a polarization based de-hazing imaging system for practical engineering applications. Experimental results reveal a significant enhancement in accuracy of atmospheric light estimation, improving the overall perceptual quality of de-hazed images by 28% in SSIM and over 20% in contrast increase when compared to previous methods, with real-time processing capabilities. This article was authored by Shui Liu, Ying Li, Heng Li, and others. We are article.tv, links in the description below.