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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…
Computer Science
Haze
Convolutional Neural Network
Artificial Intelligence
Computer Vision
Geography
Meteorology
Programming Language