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Oct 5, 2023 · A novel single image dehazing algorithm called hybrid CNN has been proposed that consists of wavelet and inverted wavelet-based multi-scale convolution neural ...
In this research work, a new wavelet Hybrid (Local-Global Combined) Network is proposed for single image dehazing using a convolution neural network (CNN) in ...
In this research work, a new wavelet Hybrid (Local-Global Combined) Network is proposed for single image dehazing using a convolution neural network (CNN) in ...
We propose a hybrid network, which employs two sub-networks to handle haze removal and image details refinement, respectively.
We propose a single image dehazing network based on encoder-decoder structure that integrates residual learning and attention mechanisms.
Missing: Convolution | Show results with:Convolution
Jun 1, 2018 · Single Image Dehazing Using Ranking Convolutional Neural Network ... LHNetV2: A Balanced Low-Cost Hybrid Network for Single Image Dehazing.
Abstract: Single image dehazing, which aims to recover the clear image solely from an input hazy or foggy image, is a challenging ill-posed problem.
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Jan 15, 2020 · To obtain effective features for single image dehazing, this paper presents a novel Ranking Convolutional Neural Network (Ranking-CNN). In ...
Missing: Hybrid | Show results with:Hybrid
In this paper, we propose a lightweight remote sensing-image-dehazing network, named LRSDN. The network comprises two tailored, lightweight modules arranged in ...
Dec 21, 2022 · This paper proposes a novel Transformer–Convolution fusion dehazing network (TCFDN), which uses Transformer's global modeling ability and convolutional neural ...