English

Encoder-Decoder Network with Guided Transmission Map: Architecture

Computer Vision and Pattern Recognition 2023-04-03 v2 Image and Video Processing

Abstract

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.

Keywords

Cite

@article{arxiv.2212.05936,
  title  = {Encoder-Decoder Network with Guided Transmission Map: Architecture},
  author = {Le-Anh Tran and Dong-Chul Park},
  journal= {arXiv preprint arXiv:2212.05936},
  year   = {2023}
}

Comments

3 pages, 2 figures, ASPAI 2022

R2 v1 2026-06-28T07:31:06.499Z