TY - GEN
T1 - Accelerating Fourier Ptychographic Imaging by Content Guided Adaptive Super-Resolution Image Reconstruction
AU - Hu, Wei
AU - Lu, Dajinag
AU - Li, Zewei
AU - Zhong, Xiaopin
AU - Wu, Zongze
AU - Tian, Yibin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Fourier Ptychographic Microscopy (FPM) is a computational imaging technique for high-resolution and wide-field image acquisition. By capturing multiple low-resolution images at varying illumination angles, it synthetically expands the numerical aperture of the system to achieve super-resolution imaging that surpass the diffraction limit. However, the reconstruction process is extremely time-consuming, significantly limiting its practical applications. To address this, we have designed a ring-shaped LED array and an accelerated iterative reconstruction algorithm by utilizing an image content guided adaptive image updating scheme. It progressively reduces the data volume by reducing the number of low-resolution images used during the reconstruction to accelerate convergence. Experimental results using the resolution chart and seven biological slides demonstrate that the proposed method achieves about 60% reduction in reconstruction time on average with negligible degradation in image quality.
AB - Fourier Ptychographic Microscopy (FPM) is a computational imaging technique for high-resolution and wide-field image acquisition. By capturing multiple low-resolution images at varying illumination angles, it synthetically expands the numerical aperture of the system to achieve super-resolution imaging that surpass the diffraction limit. However, the reconstruction process is extremely time-consuming, significantly limiting its practical applications. To address this, we have designed a ring-shaped LED array and an accelerated iterative reconstruction algorithm by utilizing an image content guided adaptive image updating scheme. It progressively reduces the data volume by reducing the number of low-resolution images used during the reconstruction to accelerate convergence. Experimental results using the resolution chart and seven biological slides demonstrate that the proposed method achieves about 60% reduction in reconstruction time on average with negligible degradation in image quality.
KW - Adaptive Optimization
KW - Fourier Ptychographic Microscopy
KW - Image Reconstruction
KW - Numerical Aperture
KW - Super-Resolution Imaging
UR - https://www.scopus.com/pages/publications/105011358960
U2 - 10.1007/978-981-96-9949-0_28
DO - 10.1007/978-981-96-9949-0_28
M3 - 会议稿件
AN - SCOPUS:105011358960
SN - 9789819699483
T3 - Communications in Computer and Information Science
SP - 328
EP - 339
BT - Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Proceedings
A2 - Huang, De-Shuang
A2 - Pan, Yijie
A2 - Chen, Wei
A2 - Li, Bo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st International Conference on Intelligent Computing, ICIC 2025
Y2 - 26 July 2025 through 29 July 2025
ER -