TY - GEN
T1 - Ptychnet
T2 - 24th IEEE International Conference on Image Processing, ICIP 2017
AU - Kappeler, Armin
AU - Ghosh, Sushobhan
AU - Holloway, Jason
AU - Cossairt, Oliver Strides
AU - Katsaggelos, Aggelos K
N1 - Funding Information:
Acknowledgments: This work was supported in part by NSF CAREER grant IIS-1453192; ONR grant N00014-15-1-2735; DARPA REVEAL grant HR0011-16-C-0028.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/20
Y1 - 2018/2/20
N2 - Fourier ptychography is an imaging technique that overcomes the diffraction limit of conventional cameras with applications in microscopy and long range imaging. Diffraction blur causes resolution loss in both cases. In Fourier ptychography, a coherent light source illuminates an object, which is then imaged from multiple viewpoints. The reconstruction of the object from these set of recordings can be obtained by an iterative phase retrieval algorithm. However, the retrieval process is slow and does not work well under certain conditions. In this paper, we propose a new reconstruction algorithm that is based on convolutional neural networks and demonstrate its advantages in terms of speed and performance.
AB - Fourier ptychography is an imaging technique that overcomes the diffraction limit of conventional cameras with applications in microscopy and long range imaging. Diffraction blur causes resolution loss in both cases. In Fourier ptychography, a coherent light source illuminates an object, which is then imaged from multiple viewpoints. The reconstruction of the object from these set of recordings can be obtained by an iterative phase retrieval algorithm. However, the retrieval process is slow and does not work well under certain conditions. In this paper, we propose a new reconstruction algorithm that is based on convolutional neural networks and demonstrate its advantages in terms of speed and performance.
KW - CNN
KW - Convolutional Neural Network
KW - Fourier ptychography
UR - http://www.scopus.com/inward/record.url?scp=85045309821&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045309821&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8296574
DO - 10.1109/ICIP.2017.8296574
M3 - Conference contribution
AN - SCOPUS:85045309821
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1712
EP - 1716
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
Y2 - 17 September 2017 through 20 September 2017
ER -