Results 91 to 100 of about 3,318 (186)
Transformer-based progressive residual network for single image dehazing. [PDF]
Yang Z, Li X, Li J.
europepmc +1 more source
RLaMs-Dehazing: Optimized Depth Map Improvement Single Colour Image Dehazing
Visibility Degradation is a classical problem owing to the presence of Atmospheric Particulate Matter (APM). There are different image dehazing algorithms. Any one method cannot be relied upon as each haze condition is unique. An innovative algorithm has been proposed inverting the image formation atmospheric scattering model [2, 32].
openaire +1 more source
Physical-model guided self-distillation network for single image dehazing. [PDF]
Lan Y, Cui Z, Su Y, Wang N, Li A, Han D.
europepmc +1 more source
Single‐image dehazing is a highly challenging ill‐posed task in the field of computer vision. To address this, a new image dehazing model with feature attention, named feature attention gated context aggregation network (FAGCA‐Net), is proposed to tackle
Yongquan Wu +4 more
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Residual Spatial and Channel Attention Networks for Single Image Dehazing. [PDF]
Jiang X, Zhao C, Zhu M, Hao Z, Gao W.
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Densely integrated multi-branch attentive net for image dehazing
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
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Joint dual-teacher distillation and unsupervised fusion for unpaired real-world image dehazing
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 +3 more
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Winscaleformer: Diffusion-Attention-Based Single Remote Sensing Image Dehazing
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 +6 more
doaj +1 more source
Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range. [PDF]
Martínez-Domingo MÁ +5 more
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Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing. [PDF]
Chen J, Wu C, Chen H, Cheng P.
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