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Image Dehazing

24 papers with code ยท Computer Vision
Subtask of Dehazing

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CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing

28 May 2020

The feature extraction-net acts as a encoder, and is used for extracting haze features.

IMAGE DEHAZING SINGLE IMAGE DEHAZING

Domain Adaptation for Image Dehazing

10 May 2020

By training image translation and dehazing network in an end-to-end manner, we can obtain better effects of both image translation and dehazing.

DOMAIN ADAPTATION IMAGE DEHAZING

NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images

7 May 2020

The non-homogeneous haze has been introduced in the scene using a professional haze generator that imitates the real conditions of hazy scenes.

IMAGE DEHAZING SINGLE IMAGE DEHAZING

NTIRE 2020 Challenge on NonHomogeneous Dehazing

7 May 2020

We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor.

IMAGE DEHAZING

A Novel Image Dehazing and Assessment Method

20 Jan 2020

Images captured in hazy weather conditions often suffer from color contrast and color fidelity.

IMAGE DEHAZING

FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing

20 Jan 2020

With the proposed Fusion-discriminator which takes frequency information as additional priors, our model can generator more natural and realistic dehazed images with less color distortion and fewer artifacts.

IMAGE DEHAZING SINGLE IMAGE DEHAZING

Single Image Dehazing Using Ranking Convolutional Neural Network

15 Jan 2020

To obtain effective features for single image dehazing, this paper presents a novel Ranking Convolutional Neural Network (Ranking-CNN).

IMAGE DEHAZING SINGLE IMAGE DEHAZING

Classification-driven Single Image Dehazing

21 Nov 2019

The generated images generally have better visual appeal, but not always have better performance for high-level vision tasks, e. g. image classification.

IMAGE CLASSIFICATION IMAGE DEHAZING OBJECT CLASSIFICATION SINGLE IMAGE DEHAZING

Deep Multi-Model Fusion for Single-Image Dehazing

ICCV 2019

This paper presents a deep multi-model fusion network to attentively integrate multiple models to separate layers and boost the performance in single-image dehazing.

IMAGE DEHAZING SINGLE IMAGE DEHAZING

Learning Deep Priors for Image Dehazing

ICCV 2019

We formulate the image dehazing problem as the minimization of a variational model with favorable data fidelity terms and prior terms to regularize the model.

IMAGE DEHAZING