Papers Single Image Haze Removal
“Single Image Haze Removal” 태그가 달린 논문 18편 · 필터 해제
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing
Single-image haze removal is a long-standing hurdle for computer vision applications. Several works have been focused on transferring advances from image classification, detection, and segmentation to the niche of image …
Contrastive Learningimage-classificationImage ClassificationImage Dehazing+3Task Adaptive Network for Image Restoration With Combined Degradation Factors
Existing methods have achieved excellent performance on image restoration, but most of them are designed for one type of degradation. However, the weather is complex in the real world. So networks designed for single tas…
Image RestorationRain RemovalSingle Image DerainingSingle Image Haze RemovalSingle image dehazing via combining the prior knowledge and CNNs
Aiming at the existing single image haze removal algorithms, which are based on prior knowledge and assumptions, subject to many limitations in practical applications, and could suffer from noise and halo amplification. …
Image DehazingSingle Image DehazingSingle Image Haze RemovalPMHLD: Patch Map Based Hybrid Learning DehazeNet for Single Image Haze Removal
Images captured in a hazy environment usually suffer from bad visibility and missing information. Over many years, learning-based and handcrafted prior-based dehazing algorithms have been rigorously developed. However, b…
Computational PhenotypingDenoisingGenerative Adversarial NetworkImage Dehazing+5Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing
The visibility of an image captured in poor weather (such as haze, fog, mist, smog) degrades due to scattering of light by atmospheric particles. Single image dehazing (SID) methods are used to restore visibility from a …
Image DehazingNonhomogeneous Image DehazingSingle Image DehazingSingle Image Haze RemovalUnderexposed Image Correction via Hybrid Priors Navigated Deep Propagation
Enhancing visual qualities for underexposed images is an extensively concerned task that plays important roles in various areas of multimedia and computer vision. Most existing methods often fail to generate high-quality…
Face DetectionSingle Image Haze RemovalPMS-Net: Robust Haze Removal Based on Patch Map for Single Images
In this paper, we proposed a novel haze removal algorithm based on a new feature called the patch map. Conventional patch-based haze removal algorithms (e.g. the Dark Channel prior) usually performs dehazing with a fixed…
Computational PhenotypingDenoisingImage DehazingImage Restoration+5Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks
We present a method to restore a clear image from a haze-affected image using a Wasserstein generative adversarial network. As the problem is ill-conditioned, previous methods have required a prior on natural images or m…
Generative Adversarial NetworkImage DehazingSingle Image Haze RemovalNight Time Haze and Glow Removal using Deep Dilated Convolutional Network
In this paper, we address the single image haze removal problem in a nighttime scene. The night haze removal is a severely ill-posed problem especially due to the presence of various visible light sources with varying co…
Single Image Haze RemovalSingle Image Haze Removal using a Generative Adversarial Network
Traditional methods to remove haze from images rely on estimating a transmission map. When dealing with single images, this becomes an ill-posed problem due to the lack of depth information. In this paper, we propose an …
Generative Adversarial NetworkImage DehazingSingle Image Haze RemovalAn Image dehazing approach based on the airlight field estimation
This paper proposes a scheme for single image haze removal based on the airlight field (ALF) estimation. Conventional image dehazing methods which are based on a physical model generally take the global atmospheric light…
Image DehazingSingle Image DehazingSingle Image Haze RemovalvalidSemantic Single-Image Dehazing
Single-image haze-removal is challenging due to limited information contained in one single image. Previous solutions largely rely on handcrafted priors to compensate for this deficiency. Recent convolutional neural netw…
Image DehazingSingle Image DehazingSingle Image Haze RemovalC2MSNet: A Novel approach for single image haze removal
Degradation of image quality due to the presence of haze is a very common phenomenon. Existing DehazeNet [3], MSCNN [11] tackled the drawbacks of hand crafted haze relevant features. However, these methods have the probl…
Image DehazingSingle Image DehazingSingle Image Haze RemovalSSIMCANDY: Conditional Adversarial Networks based Fully End-to-End System for Single Image Haze Removal
Single image haze removal is a very challenging and ill-posed problem. The existing haze removal methods in literature, including the recently introduced deep learning methods, model the problem of haze removal as that o…
Single Image Haze RemovalJoint Transmission Map Estimation and Dehazing using Deep Networks
Single image haze removal is an extremely challenging problem due to its inherent ill-posed nature. Several prior-based and learning-based methods have been proposed in the literature to solve this problem and they have …
Image DehazingSingle Image DehazingSingle Image Haze RemovalDehazeNet: An End-to-End System for Single Image Haze Removal
Single image haze removal is a challenging ill-posed problem. Existing methods use various constraints/priors to get plausible dehazing solutions. The key to achieve haze removal is to estimate a medium transmission map …
Image DehazingSingle Image Haze RemovalA Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image. By creating a…
Single Image DehazingSingle Image Haze RemovalSingle Image Haze Removal Using Dark Channel Prior
In this paper, we propose a simple but effective image prior-dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key o…
Single Image Haze Removal