关键词: 图像去雾, 天空区域特征先验, 暗通道先验, Retinex模型

Abstract: Considering that the sky region in a hazy image suffers from negative visual effect, a single image dehazing method via sky region recognition is proposed. Firstly, a simple but effective image prior-sky region feature is present, which is used to segment a hazy image into sky region and non-sky region. Then based on the recognized sky region, the atmospheric is obtained. By using the dark channel prior and further refined via the guided total variation model, the transmission of the non-sky region is estimated. Consequently, the clear image can be restored based on the atmospheric scattering model. Furthermore, a neighborhood adaptive Retinex method is also proposed to overcome the problem that image looks dim after haze removal. The comparison experimental results verify that the proposed method can produce results comparative to and even better than existing similar techniques with respect of the effectiveness and robustness.

Key words: image dehazing, sky region feature prior, dark channel prior, Retinex model