Enhanced CycleGAN Network with Adaptive Dark Channel Prior for Unpaired Single-Image Dehazing. [PDF]
Xu Y, Zhang H, He F, Guo J, Wang Z.
europepmc +1 more source
Dehaze-attention: enhancing image dehazing with a multi-scale, attention-based deep learning framework. [PDF]
Huang H, Ho GTS, Geda MW, Li M, Tang YM.
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GTMNet: a vision transformer with guided transmission map for single remote sensing image dehazing. [PDF]
Li H, Zhang Y, Liu J, Ma Y.
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Runge-kutta method inspired aerial image dehazing network in YUV space. [PDF]
Si Y, Chen J, Rao W, Li C.
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Online knowledge distillation network for single image dehazing. [PDF]
Lan Y +7 more
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The aim of this work is to find a method for removing haze from satellite imagery. This is done by taking two algorithms developed for images taken from the sur- face of the earth and adapting them for satellite images. The two algorithms are Single Image Haze Removal Using Dark Channel Prior by He et al.
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SAM2-Dehaze: Fusing High-Quality Semantic Priors with Convolutions for Single-Image Dehazing. [PDF]
Li S, Wang J, Huo Z.
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Transformer-based progressive residual network for single image dehazing. [PDF]
Yang Z, Li X, Li J.
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Physical-model guided self-distillation network for single image dehazing. [PDF]
Lan Y, Cui Z, Su Y, Wang N, Li A, Han D.
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ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention. [PDF]
Chen Y +6 more
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