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

Author:

An ShunminORCID,Huang Xixia,Zheng Zhangjing,Wang Linling

Abstract

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.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference41 articles.

1. Vision in bad weather;SK Nayar;Proc IEEE Int Conf Comput Vis,1999

2. Single image haze removal using dark channel prior;K He;IEEE Trans Pattern Anal Mach Intell,2011

3. A fast single image haze removal algorithm using color attenuation prior;Q Zhu;IEEE Trans Image Process,2015

4. Single image dehazing via multi-scale convolutional neural networks;W Ren;Comput Vis ECCV,2016

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