Jie WANG, Guoming XU, Jian MA, Yong WANG, Yi LI. Polarization computational imaging super-resolution reconstruction with lightweight attention cascading network[J]. Optics and Precision Engineering, 2022, 30(19): 2404
- Optics and Precision Engineering
- Vol. 30, Issue 19, 2404 (2022)
Fig. 1. Network architecture of lightweight attention cascading network
Fig. 2. Network structure of spatial pyramid
Fig. 3. Network structure of enhanced spatial attention block
Fig. 4. Network structure of channel attention mechanism
Fig. 5. Network structure of cascading attention block
Fig. 6. Spectral polarization camera
Fig. 7. Polarization images of building
Fig. 8. Polarization images of hefei south railway station
Fig. 9. Different polarization images
Fig. 10. Comparisons of the accuracy and model parameters
Fig. 11. Comparisons of the rebuild performance and speed
Fig. 12. Visualized results of × ![]()
![]()
Fig. 13. Visualized results of × ![]()
![]()
Fig. 14. Visualized results of × ![]()
![]()
|
Table 1. 空间注意力网络对重建结果的影响（4 SR）
|
Table 2. MSAB模块对重建效果的影响（4 SR）
|
Table 3. 信息细化块对重建性能的影响（4 SR）
|
Table 4. 不同路径的重建模块客观效果对比（4 SR）
|
Table 5. 不同网络深度对重建效果的影响（3 SR）
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 6. Indicator comparison of different SR algorithms on fully polarization image set
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20