MacSphere (McMaster University)
Generic Model-Agnostic Convolutional Neural Networks for Single Image Dehazing
October 2018 • Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen
Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis. In this paper, I propose an end-to-end generative method for single image dehazing problem. It is based on fully convolutional network and effective network structures to recognize haze structure in input images and restore clear, haze-free ones. The proposed method is agnostic in the sense that it does not explore the atmosphere scattering model, it makes use of convolutional networks advantage in…