The Visual Computer, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 29, 2024
Language: Английский
The Visual Computer, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 29, 2024
Language: Английский
The Visual Computer, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 22, 2025
Language: Английский
Citations
0Medical & Biological Engineering & Computing, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 23, 2025
Language: Английский
Citations
0The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(3)
Published: Jan. 31, 2025
Language: Английский
Citations
0The Visual Computer, Journal Year: 2025, Volume and Issue: unknown
Published: March 16, 2025
Language: Английский
Citations
0International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 139, P. 104463 - 104463
Published: March 22, 2025
Language: Английский
Citations
0The Visual Computer, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 9, 2024
Language: Английский
Citations
2The Visual Computer, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 10, 2024
Language: Английский
Citations
2The Visual Computer, Journal Year: 2024, Volume and Issue: unknown
Published: April 15, 2024
Language: Английский
Citations
2Applied Optics, Journal Year: 2024, Volume and Issue: 63(28), P. 7433 - 7433
Published: Sept. 9, 2024
Modern optical design methods pursue achieving zero aberrations in imaging systems by adding lenses, which also leads to increased structural complexity of systems. For given systems, directly reducing the number lenses would result a decrease degrees freedom. Even if simplified system can satisfy basic first-order parameters, it lacks sufficient freedom constrain maintain clear quality. Therefore, order address issue image quality defects system, with support computational technology, we proposed spherical method. The method adopts an optical-algorithm joint strategy correct partial and combines reconstruction algorithm based on ResUNet++ network residual aberrations, mutual compensation correction between algorithm. We validated our two-lens compared performance that three-lens similar parameters. results show reconstructed images has improved (SSIM 13.94%, PSNR 21.28%), is close direct system.
Language: Английский
Citations
1The Visual Computer, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 22, 2024
Language: Английский
Citations
1