DEA-Net: Single Image Dehazing Based on Detail-Enhanced Convolution and Content-Guided Attention

Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to improving the model performance via increasing the depth or width of convolution. The learning ability of Convolutional...

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Vydáno v:	IEEE transactions on image processing Ročník 33; s. 1002
Hlavní autoři:	Chen, Zixuan, He, Zewei, Lu, Zhe-Ming
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Témata:	Artificial neural networks Deep learning Gradient flow Haze Ill posed problems Image enhancement Image quality Machine learning Parameterization Parameters Source code
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line přístup:	Získat plný text
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