Multi-Target Adaptive Focusing Algorithm Based on Image Phase Difference DOI Open Access

Ninghui Pan,

Feihong Yu

Electronics, Journal Year: 2024, Volume and Issue: 13(24), P. 4917 - 4917

Published: Dec. 13, 2024

In the field of image detection, when focusing on multiple targets interest with different depths, in addition to optimizing speed a single target, comprehensive consideration interrelationships among can further enhance overall efficiency. this context, paper presents multi-target adaptive algorithm based phase difference. The improves accuracy difference calculation through multi-scale matching and adaptively adjusts defocus estimation model Additionally, orders target regions by reduce focus time combines estimate clarity achieve precise each region. experimental results show that method not only effectively does need rely lens calibration, but also significantly efficiency compared traditional algorithms.

Language: Английский

FAN: Fourier Assignment Network for autofocus based on deep learning DOI

Qizheng Liu,

Xintian Mao, Jiansheng Wang

et al.

Optics & Laser Technology, Journal Year: 2025, Volume and Issue: 186, P. 112579 - 112579

Published: Feb. 20, 2025

Language: Английский

Citations

0
A coarse-to-fine attention-guided autofocusing for holography under high noisy scenes with explainable neural network DOI
Geng Xu, Jiangyan Feng, Jie-Yao Lyu

et al.

Optics and Lasers in Engineering, Journal Year: 2025, Volume and Issue: 190, P. 108945 - 108945

Published: March 27, 2025

Language: Английский

Citations

0
基于自适应联合校准的多平面相位恢复技术 DOI

丁志辉 Ding Zhihui,

郭峰旭 Guo Fengxu,

刘映利 Liu Yingli

et al.

Acta Optica Sinica, Journal Year: 2025, Volume and Issue: 45(10), P. 1011002 - 1011002

Published: Jan. 1, 2025

Citations

0
Multi-Target Adaptive Focusing Algorithm Based on Image Phase Difference DOI Open Access

Ninghui Pan,

Feihong Yu

Electronics, Journal Year: 2024, Volume and Issue: 13(24), P. 4917 - 4917

Published: Dec. 13, 2024

In the field of image detection, when focusing on multiple targets interest with different depths, in addition to optimizing speed a single target, comprehensive consideration interrelationships among can further enhance overall efficiency. this context, paper presents multi-target adaptive algorithm based phase difference. The improves accuracy difference calculation through multi-scale matching and adaptively adjusts defocus estimation model Additionally, orders target regions by reduce focus time combines estimate clarity achieve precise each region. experimental results show that method not only effectively does need rely lens calibration, but also significantly efficiency compared traditional algorithms.

Language: Английский

Citations

0