Haze degrades image quality and limits visibility especially in outdoor settings. This consequently affects performance on other high-level tasks such as object detection and recognition. The AOD network proposed by Boyi Li et. al. is an end-to-end CNN to de-haze an image. AOD takes as input a hazy image and generates a de-hazed image. Here i have implement the given paper AOD-net in Tensorflow.
- paper Link :B. Li, X. Peng, Z. Wang, J. Xu, and D. Feng, “AOD-Net: All-in-One Dehazing Network”, In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017 URL {Link }: https://openaccess.thecvf.com/content_ICCV_2017/papers/Li_AOD-Net_All-In-One_Dehazing_ICCV_2017_paper.pdf