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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Bibliographic Details

Published in:	IEEE transactions on image processing Vol. 33; p. 1002
Main Authors:	Chen, Zixuan, He, Zewei, Lu, Zhe-Ming
Format:	Journal Article
Language:	English
Published:	United States The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Subjects:	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 Access:	Get full text
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