Papers Single Image Dehazing
“Single Image Dehazing” 태그가 달린 논문 136편 · 필터 해제
Vision Transformer with Key-select Routing Attention for Single Image Dehazing
We present Ksformer, utilizing Multi-scale Key-select Routing Attention (MKRA) for intelligent selection of key areas through multi-channel, multi-scale windows with a top-k operator, and Lightweight Frequency Processing…
Image DehazingSingle Image DehazingRobustSAM: Segment Anything Robustly on Degraded Images
Segment Anything Model (SAM) has emerged as a transformative approach in image segmentation, acclaimed for its robust zero-shot segmentation capabilities and flexible prompting system. Nonetheless, its performance is cha…
DeblurringImage DehazingImage SegmentationSegmentation+4DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer
Image dehazing, a pivotal task in low-level vision, aims to restore the visibility and detail from hazy images. Many deep learning methods with powerful representation learning capability demonstrate advanced performance…
Image DehazingNonhomogeneous Image DehazingRepresentation LearningSingle Image DehazingRethinking the Elementary Function Fusion for Single-Image Dehazing
This paper addresses the limitations of physical models in the current field of image dehazing by proposing an innovative dehazing network (CL2S). Building on the DM2F model, it identifies issues in its ablation experime…
Image DehazingSingle Image DehazingParallel Cross Strip Attention Network for Single Image Dehazing
The objective of single image dehazing is to restore hazy images and produce clear, high-quality visuals. Traditional convolutional models struggle with long-range dependencies due to their limited receptive field size. …
Image DehazingSingle Image DehazingPriorNet: A Novel Lightweight Network with Multidimensional Interactive Attention for Efficient Image Dehazing
Hazy images degrade visual quality, and dehazing is a crucial prerequisite for subsequent processing tasks. Most current dehazing methods rely on neural networks and face challenges such as high computational parameter p…
Image DehazingSingle Image DehazingWaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
The surge in interest regarding image dehazing has led to notable advancements in deep learning-based single image dehazing approaches, exhibiting impressive performance in recent studies. Despite these strides, many exi…
Image DehazingSingle Image DehazingDepth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
Recovering a clear image from a single hazy image is an open inverse problem. Although significant research progress has been made, most existing methods ignore the effect that downstream tasks play in promoting upstream…
Depth EstimationImage DehazingSingle Image DehazingU-shaped Vision Mamba for Single Image Dehazing
Currently, Transformer is the most popular architecture for image dehazing, but due to its large computational complexity, its ability to handle long-range dependency is limited on resource-constrained devices. To tackle…
Image DehazingImage RestorationMambaSingle Image DehazingDepth-agnostic Single Image Dehazing
Single image dehazing is a challenging ill-posed problem. Existing datasets for training deep learning-based methods can be generated by hand-crafted or synthetic schemes. However, the former often suffers from small sca…
Image DehazingSingle Image DehazingHaze Removal via Regional Saturation-Value Translation and Soft Segmentation
This paper proposes a single image dehazing prior, called Regional Saturation-Value Translation (RSVT), to tackle the color distortion problems caused by conventional dehazing approaches in bright regions. The RSVT prior…
Image DehazingSingle Image DehazingTranslationReal-world image dehazing with improved joint enhancement and exposure fusion
In this work, a single image dehazing method that improves the haze removal capacity of the Joint Contrast Enhancement and Exposure Fusion (CEEF) method with Smoothing-Sharpening Image Filter (SSIF) is presented. In this…
Image DehazingSingle Image DehazingSimHaze: game engine simulated data for real-world dehazing
Deep models have demonstrated recent success in single-image dehazing. Most prior methods consider fully supervised training and learn from paired clean and hazy images, where a hazy image is synthesized based on a clean…
Depth EstimationImage DehazingSingle Image DehazingDehazing-NeRF: Neural Radiance Fields from Hazy Images
Neural Radiance Field (NeRF) has received much attention in recent years due to the impressively high quality in 3D scene reconstruction and novel view synthesis. However, image degradation caused by the scattering of at…
3D Scene ReconstructionImage DehazingImage GenerationNeRF+2Fooling the Image Dehazing Models by First Order Gradient
The research on the single image dehazing task has been widely explored. However, as far as we know, no comprehensive study has been conducted on the robustness of the well-trained dehazing models. Therefore, there is no…
Adversarial AttackImage DehazingSingle Image Dehazing4K-HAZE: A Dehazing Benchmark with 4K Resolution Hazy and Haze-Free Images
Currently, mobile and IoT devices are in dire need of a series of methods to enhance 4K images with limited resource expenditure. The absence of large-scale 4K benchmark datasets hampers progress in this area, especially…
4kDepth EstimationGPUImage Dehazing+1Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Considering the ill-posed nature, contrastive regularization has been developed for single image dehazing, introducing the information from negative images as a lower bound. However, the contrastive samples are nonconsen…
Image DehazingSingle Image DehazingImage Restoration with Mean-Reverting Stochastic Differential Equations
This paper presents a stochastic differential equation (SDE) approach for general-purpose image restoration. The key construction consists in a mean-reverting SDE that transforms a high-quality image into a degraded coun…
DeblurringDenoisingImage DeblurringImage Denoising+8Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
Image restoration under hazy weather condition, which is called single image dehazing, has been of significant interest for various computer vision applications. In recent years, deep learning-based methods have achieved…
Contrastive LearningImage DehazingImage RestorationSingle Image Dehazing+1Encoder-Decoder Network with Guided Transmission Map: Architecture
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…
DecoderImage DehazingSingle Image DehazingSSIM