关键词: 图像去雾, 颜色衰减先验, 线性模型, 小波融合

Abstract: An improved single image dehazing?algorithm using color attenuation prior and wavelet fusion is proposed in this paper. Firstly, according to color attenuation prior, a linear model of relationship between transmission and brightness and saturation is built, from which the rough transmission map can be calculated. Secondly, the reverse information of gray scale form of the hazy image is extracted as the detail supplement of the transmission map. Finally, the refined transmission map is obtained by fusing the rough transmission map and the reverse information of gray scale form of the haze image with wavelet algorithm. This method avoids the problem of manual picked parameters, improves the accuracy of transmission map by combining features of original haze images with highly-automatized. Experiments show that the proposed method is robust and restore images with good quality.

Key words: image dehazing, color attenuation prior, linear model, wavelet fusion