Results 71 to 80 of about 820 (130)

Joint dual-teacher distillation and unsupervised fusion for unpaired real-world image dehazing

Complex & Intelligent Systems
Existing learning-based dehazing algorithms struggle to deal with real world hazy images for lack of paired clean data. Moreover, most dehazing methods require significant computation and memory.
Yingxu Qiao, Xiyan Zhan, Fen Luo, Zhanqiang Huo   +3 more
doaj   +1 more source

Densely integrated multi-branch attentive net for image dehazing

Ain Shams Engineering Journal
Single image dehazing is a fundamental but challenging task in image processing. Various deep learning-based methods have achieved great dehazing performance.
Ping Zong, Zhen Hua, Jinjiang Li
doaj   +1 more source

Winscaleformer: Diffusion-Attention-Based Single Remote Sensing Image Dehazing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The Transformer architecture has demonstrated outstanding performance in image dehazing with its global modeling capability. However, it suffers from a quadratic computational complexity bottleneck when processing high-resolution images, leading to the ...
Nan Liu, Yi-Horng Lai, Xiaoping You, Wenqiong Zhang, Jiaen Wang, Haoxin Wu, Xian Yu   +6 more
doaj   +1 more source

Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range. [PDF]

Sensors (Basel), 2020
Martínez-Domingo MÁ, Valero EM, Nieves JL, Molina-Fuentes PJ, Romero J, Hernández-Andrés J.   +5 more
europepmc   +1 more source

Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing. [PDF]

Sensors (Basel), 2020
Chen J, Wu C, Chen H, Cheng P.
europepmc   +1 more source

DCAF-Net: Density-Conditioned Attention Fusion Network for Single-Image Dehazing. [PDF]

Sensors (Basel)
Li N, Liu S, Ding H, Gao S, Xiao Z, Liu Q.   +5 more
europepmc   +1 more source

SINGLE IMAGE DEHAZING USING PHYSICS-INFORMED CONVOLUTIONAL AUTOENCODER

Модели, системы, сети в экономике, технике, природе и обществе
Background. Generally, haze can be considered to be one of the most fundamental phenomena causing image visibility degradation. Numerous haze removal approaches have been proposed and most of them have achieved significant progress.
A.V. Kozhevnikova, M.A. Mitrokhin
doaj   +1 more source

MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection. [PDF]

Sci Rep
Qin Q, Shui L, Zhang Y, Song S, Jiang J.
europepmc   +1 more source

Alpha-DehazeNet: single image dehazing <i>via</i> RGBA haze modeling and adaptive learning. [PDF]

PeerJ Comput Sci
He J, Li R.
europepmc   +1 more source

Single-image dehazing method based on Rayleigh Scattering and adaptive color compensation. [PDF]

PLoS One
Guo X, Sun Q, Zhao J, Sun M, Qiao Y, Zhang Y, Zhou Y.   +6 more
europepmc   +1 more source