Oct 12, 2020 · In this paper, a Discrete Haze Level Dehazing network (DHL-Dehaze), a very effective method to dehaze multiple different haze level images, is ...
Oct 12, 2020 · A Discrete Haze Level Dehazing network (DHL-Dehaze), a very effective method to dehaze multiple different haze level images, is proposed and ...
A collection of DL-based dehazing methods. This repository provides a summary of deep learning based dehazing algorithms.
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What is haze reduction?
What is dehazing in image processing?
This paper proposes a novel model called HEDehazeNet (Dehazing Net based on Haze Generation Enhancement), which provides crucial information for the generation ...
To address these challenges, we introduce an innovative non-homogeneous Dehazing method via Deformable Convolutional Transformer-like architecture (DehazeDCT).
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Jul 29, 2024 · The dehazing network we employ is based on the Transformer architecture, addressing the limitations of CNNs in capturing long-range dependencies ...
The two encoder–decoder networks are introduced to learn the corresponding high-dimensional feature representation between pairs of hazy and haze-free images.
The discrete haze level dehazing network (DHL-. Dehaze) [Cong et al., 2020] processed multiple haze level domains from the perspective of multi-domain image ...
May 24, 2023 · The FFA-Net incorporates a feature fusion module and an attention mechanism to capture both low-level and high-level features of hazy images.
A Discrete Haze Level Dehazing network (DHL-Dehaze), a very effective method to dehaze multiple different haze level images, is proposed and can obtain ...