Single Image with Large Sky Area Dehazing Based on Structure-texture Decomposition
Xue Ren, Chaoying Tang, Biao Wang, Han Su, Xiaojie Li · 2020
Traditional dehazing methods based on restoration are prone to color distortion and noise amplification when dealing with hazy image with large sky region. To improve dehazing effect, we proposed a dehazing algorithm based on image structure-texture decomposition and reconstruction. Hazy image is decomposed into high-frequency texture layer and low-frequency structure layer by total variation. Discrete cosine transform is used to generate an image mask to separate sky area and non-sky area. The texture layer is denoised by the mask, and the structure layer is dehazed by dark channel prior. The media transmission is corrected by color attenuation prior. Finally, the denoised texture layer and the dehazing structure layer are reconstructed to obtain dehazed image. Experiment results show that, compared with state-of-art algorithms, our method has great dehazing effect on non-sky region, and the sky region after dehazing is smooth without color distortion and noise.