In this paper, an end-to-end physical model and image translation fused network is proposed to generate realistic haze-free images.
In this paper, an end-to-end physical model and image translation fused network is proposed to generate realistic haze-free images.
An end-to-end physical model and image translate fused network is proposed for single image dehazing. The proposed network contains a common feature extraction ...
The algorithm can efficiently fuse the physical model information and the hazy image translation to address the problem existent in the methods only based on ...
... [44] proposed a single image dehazing network that combines physical model and self-distillation, effectively utilizing the advantages of model-based and ...
Physical model and image translation fused network for single-image dehazing · List of references · Publications that cite this publication.
Sep 2, 2022 · End-to-end methods, also called image translation, directly establish the mapping between hazy images and clear images instead of using ...
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Single Image Dehazing Based on the Physical Model and MSRCR ...
dl.acm.org › abs › TCSVT.2017.2728822
To address the hazy weather image degradation problem, we propose a single image dehazing method based on a physical model and the brightness components of ...
A collection of DL-based dehazing methods. This repository provides a summary of deep learning based dehazing algorithms.
May 29, 2024 · In this study, a novel dehazed generative adversarial network (GAN) is proposed to reconstruct the clean images from the hazy ones.