Journal of System Simulation
Abstract
Abstract: Abstruct: A lot of research achievements have been made in image dehazing based on neural network,but there aiming at the fog residue, even the color distortion and texture loss, in complex outdoor image dehazing, an image dehazing network based on densely connected residual block and channel pixel attention is proposed. Densely connected residual blocks are used to extract and fuse the features of foggy images,and the repair module with channel pixel attention mechanism is used to repair the color and texture of the feature maps. The experimental results show that, compared with the existing methods, the proposed method and significantly improves the objective evaluation index and subjective visual quality, effectively avoid the color distortion, texture loss and residual fog in the process of image dehazing.
Recommended Citation
Jin, Weidong; Zhang, Shuli; Tang, Peng; and Zhang, Man
(2022)
"Image Dehazing Network Based on Densely Connected Residual Block and Channel Pixel Attention,"
Journal of System Simulation: Vol. 34:
Iss.
8, Article 1.
DOI: 10.16182/j.issn1004731x.joss.21-1160
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss8/1
First Page
1663
Revised Date
2022-01-24
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-1160
Last Page
1673
CLC
TP391.9
Recommended Citation
Weidong Jin, Shuli Zhang, Peng Tang, Man Zhang. Image Dehazing Network Based on Densely Connected Residual Block and Channel Pixel Attention[J]. Journal of System Simulation, 2022, 34(8): 1663-1673.
DOI
10.16182/j.issn1004731x.joss.21-1160
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