Results 21 to 30 of about 11,754,470 (203)

Deep Retinex Network for Single Image Dehazing

open access: yes, 2021
In this paper, we propose a retinex-based decomposition model for a hazy image and a novel end-to-end image dehazing network. In the model, the illumination of the hazy image is decomposed into natural illumination for the haze-free image and residual ...
Tian JD(田建东)   +4 more
core   +2 more sources

Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
Accepted at CVPRW: NTIRE ...
Deniz Engin   +2 more
openaire   +4 more sources

Reliable Image Dehazing by NeRF

open access: yesCoRR, 2023
12pages ...
Zheyan Jin   +5 more
openaire   +3 more sources

SIDE—A Unified Framework for Simultaneously Dehazing and Enhancement of Nighttime Hazy Images

open access: yesSensors, 2020
Single image dehazing is a difficult problem because of its ill-posed nature. Increasing attention has been paid recently as its high potential applications in many visual tasks. Although single image dehazing has made remarkable progress in recent years,
Renjie He, Xintao Guo, Zhongke Shi
doaj   +1 more source

Unsupervised water scene dehazing network using multiple scattering model.

open access: yesPLoS ONE, 2021
In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are difficult to collect, many dehazing methods are not as effective as they could be.
Shunmin An   +4 more
doaj   +1 more source

Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2021
Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying the existing literature ...
Karrar Hameed Abdulkareem   +6 more
doaj   +1 more source

Remote Sensing Image Dehazing Based on an Attention Convolutional Neural Network

open access: yesIEEE Access, 2022
Haze may affect the quality of optical remote sensing images, thus limiting the scope of their application. Remote sensing image dehazing has become important in remote sensing image preprocessing, promoting the use of remote sensing data and the ...
Zhijie He, Cailan Gong, Yong Hu, Lan Li
doaj   +1 more source

Survey of Transformer-Based Single Image Dehazing Methods [PDF]

open access: yesJisuanji kexue yu tansuo
As a fundamental computer vision task, image dehazing aims to preprocess degraded images by restoring color contrast and texture information to improve visibility and image quality, thereby the clear images can be recovered for subsequent high-level ...
ZHANG Kaili, WANG Anzhi, XIONG Yawei, LIU Yun
doaj   +1 more source

Single Image Dehazing Using Wavelet-Based Haze-Lines and Denoising

open access: yesIEEE Access, 2021
Haze reduces the contrast of an image and causes the loss in colors, which has a negative effect on the subsequent object detection; therefore, single image dehazing is a challenging visual task.
Wei-Yen Hsu, Yi-Sin Chen
doaj   +1 more source

A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior [PDF]

open access: yes, 2015
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.
Zhu, Qingsong   +5 more
core   +1 more source

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