  An insight into the architecture of the Encoder-Decoder Network with Guided
Transmission Map (EDN-GTM), a novel and effective single image dehazing scheme,
is presented in this paper. The EDN-GTM takes a conventional RGB hazy image in
conjunction with the corresponding transmission map estimated by the dark
channel prior (DCP) approach as inputs of the network. The EDN-GTM adopts an
enhanced structure of U-Net developed for dehazing tasks and the resulting
EDN-GDM has shown state-of-the-art performances on benchmark dehazing datasets
in terms of PSNR and SSIM metrics. In order to give an in-depth understanding
of the well-designed architecture which largely contributes to the success of
the EDN-GTM, extensive experiments and analysis from selecting the core
structure of the scheme to investigating advanced network designs are presented
in this paper.
