Results 91 to 100 of about 4,947 (184)

DehazeMamba: large multi-modal model guided single image dehazing via mamba

Visual Intelligence
Deep neural networks have achieved significant success in image dehazing. However, existing backbones face an irreconcilable trade-off between the global receptive field and computational efficiency, hindering further applications.
Ruikun Zhang, Zhiyuan Yang, Liyuan Pan
doaj   +1 more source

Haze-Aware Attention Network for Single-Image Dehazing

Applied Sciences
Single-image dehazing is a pivotal challenge in computer vision that seeks to remove haze from images and restore clean background details. Recognizing the limitations of traditional physical model-based methods and the inefficiencies of current ...
Lihan Tong, Yun Liu, Weijia Li, Liyuan Chen, Erkang Chen   +4 more
doaj   +1 more source

MCADNet: A Multi-Scale Cross-Attention Network for Remote Sensing Image Dehazing

Mathematics
Remote sensing image dehazing (RSID) aims to remove haze from remote sensing images to enhance their quality. Although existing deep learning-based dehazing methods have made significant progress, it is still difficult to completely remove the uneven ...
Tao Tao, Haoran Xu, Xin Guan, Hao Zhou
doaj   +1 more source

Optimized method for polarization-based image dehazing. [PDF]

Heliyon, 2023
Sun C, Ding Z, Ma L.
europepmc   +1 more source

HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark. [PDF]

J Imaging
Nikonorov A, Sidorchuk D, Odinets N, Volkov V, Sarycheva A, Dudenko E, Zhidkov M, Nikolaev D.   +7 more
europepmc   +1 more source

Remote Sensing Image Dehazing through an Unsupervised Generative Adversarial Network. [PDF]

Sensors (Basel), 2023
Zhao L, Yin Y, Zhong T, Jia Y.
europepmc   +1 more source

Efficient Dehazing with Recursive Gated Convolution in U-Net: A Novel Approach for Image Dehazing. [PDF]

J Imaging, 2023
Wang Z, Jia J, Lyu P, Min J.
europepmc   +1 more source

AMSA-Net: attention-based multi-scale feature aggregation network for single image dehazing. [PDF]

Front Neurorobot
Wang S, Miao M, Zhang M.
europepmc   +1 more source

ADE-CycleGAN: A Detail Enhanced Image Dehazing CycleGAN Network. [PDF]

Sensors (Basel), 2023
Yan B, Yang Z, Sun H, Wang C.
europepmc   +1 more source

Evaluating Image Quality Metrics as Loss Functions for Image Dehazing. [PDF]

Sensors (Basel)
Dobre-Baron R, Savu-Jivanov A, Ancuți C.   +2 more
europepmc   +1 more source