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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Veröffentlicht in:	IEEE transactions on image processing Jg. 33; S. 1002
Hauptverfasser:	Chen, Zixuan, He, Zewei, Lu, Zhe-Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Schlagworte:	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
Online-Zugang:	Volltext
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