An end-to-end sea fog removal network using multiple scattering model

• Published in: PloS one 2021-05, Vol.16 (5), p.e0251337-e0251337
• Main Authors: An, Shunmin, Huang, Xixia, Zheng, Zhangjing, Wang, Linling
• Format: Article
• Language: English
• Subjects: Atmospheric scattering; Biology and Life Sciences; Computer and Information Sciences; Earth Sciences; Engineering; Fog; Haze; Image restoration; Light; Logistics; Management; Mean square errors; Methods; Multiple scatter; Multiple scattering; Neural networks; Research and Analysis Methods; Scattering (Physics); Sea fog; Social Sciences
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0251337

An end-to-end sea fog removal network using multiple scattering model was proposed. In this network, the atmospheric multiple scattering model was re-formulated and used for sea fog removal. Compared with the atmospheric single scattering model, the atmospheric multiple scattering model could more comprehensively consider the effect of multiple scattering, which was important to the dense fog scenes, such as in ocean scene. Therefore, we used the atmospheric multiple scattering model to avoid image blurring. The model can directly generate the dehazing results, and unify the three parameters of the transmission map, the atmospheric light and the blur kernel into one formula. The latest smooth dilation and sub-pixel techniques were used in the network model. The latest techniques can avoid the gridding artifacts and the halo artifacts, the multi-scale sub-network was used to consider the features of multi-scale. In addition, multiple loss functions were used in end-to-end network. In the experimental results, the model was superior to the state-of-the-art models in terms of quantitatively and qualitatively.