• Chinese Optics Letters
  • Vol. 23, Issue 4, 041101 (2025)
Miao Li*, Chenyan Wang, Xi Wang**, Lingqiang Zhang..., Chaorui Chen, Zhaohui Guo and Xueyin Zhao|Show fewer author(s)
Author Affiliations
  • School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    DOI: 10.3788/COL202523.041101 Cite this Article Set citation alerts
    Miao Li, Chenyan Wang, Xi Wang, Lingqiang Zhang, Chaorui Chen, Zhaohui Guo, Xueyin Zhao, "Feature fusion and variational autoencoder based deep coded aperture design for a CUP-VISAR diagnostic system," Chin. Opt. Lett. 23, 041101 (2025) Copy Citation Text show less
    Basic structure of the CUP-VISAR system for measuring shock wave velocity.
    Fig. 1. Basic structure of the CUP-VISAR system for measuring shock wave velocity.
    Framework for coding matrix design utilizing a CVAE network.
    Fig. 2. Framework for coding matrix design utilizing a CVAE network.
    Network architecture diagram for encoding and decoding.
    Fig. 3. Network architecture diagram for encoding and decoding.
    Mask. (a) Random mask; (b) 300 epoch feature-free fusion mask; (c) 300 epoch feature fusion mask.
    Fig. 4. Mask. (a) Random mask; (b) 300 epoch feature-free fusion mask; (c) 300 epoch feature fusion mask.
    Velocity fringe reconstruction of shock wave diagnosis by four algorithms with different masks. (a1) Random mask; (a2) measurement with the random mask; (a3)–(a6) 25th frame reconstruction of the random mask; (b1) feature-free fusion mask; (b2) measurement with the feature-free fusion mask; (a3)–(a6) 25th frame reconstruction of the feature-free fusion mask; (c1) feature fusion mask; (c2) measurement with feature fusion mask; (c3)–(c6) 25th frame reconstruction of the feature fusion mask.
    Fig. 5. Velocity fringe reconstruction of shock wave diagnosis by four algorithms with different masks. (a1) Random mask; (a2) measurement with the random mask; (a3)–(a6) 25th frame reconstruction of the random mask; (b1) feature-free fusion mask; (b2) measurement with the feature-free fusion mask; (a3)–(a6) 25th frame reconstruction of the feature-free fusion mask; (c1) feature fusion mask; (c2) measurement with feature fusion mask; (c3)–(c6) 25th frame reconstruction of the feature fusion mask.
    Experimental mask plate specification drawing. The coding-aperture ratio of the mask is 7:3. (a) Feature fusion mask; (b) random mask.
    Fig. 6. Experimental mask plate specification drawing. The coding-aperture ratio of the mask is 7:3. (a) Feature fusion mask; (b) random mask.
    Velocity fringe reconstruction performance in various coding aperture ratios. (a1), (b1) PSNR performance comparison for different algorithms; (a2), (b2) SSIM performance comparison for different algorithms.
    Fig. 7. Velocity fringe reconstruction performance in various coding aperture ratios. (a1), (b1) PSNR performance comparison for different algorithms; (a2), (b2) SSIM performance comparison for different algorithms.
    Miao Li, Chenyan Wang, Xi Wang, Lingqiang Zhang, Chaorui Chen, Zhaohui Guo, Xueyin Zhao, "Feature fusion and variational autoencoder based deep coded aperture design for a CUP-VISAR diagnostic system," Chin. Opt. Lett. 23, 041101 (2025)
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