TY - GEN
T1 - Optimal Measurement Configuration in Computational Diffractive Imaging
AU - Widloski, Evan
AU - Kamaci, Ulas
AU - Kamalabadi, Farzad
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Diffractive lenses have recently been applied to the domain of multispectral imaging in the X-ray and UV regimes where they can achieve very high resolution as compared to reflective and refractive optics. Conventionally, spectral components are reconstructed by taking measurements at the focal planes. However, the reconstruction quality can be improved by optimizing the measurement configuration. In this work, we adapt a sequential backward selection algorithm to search for a configuration which minimizes expected reconstruction error. By approximating the forward system as a circular convolution and making assumptions on the source and noise, we greatly reduce the complexity of the algorithm. Numerical results show that the configuration found by the algorithm significantly improves the reconstruction performance compared to a standard configuration.
AB - Diffractive lenses have recently been applied to the domain of multispectral imaging in the X-ray and UV regimes where they can achieve very high resolution as compared to reflective and refractive optics. Conventionally, spectral components are reconstructed by taking measurements at the focal planes. However, the reconstruction quality can be improved by optimizing the measurement configuration. In this work, we adapt a sequential backward selection algorithm to search for a configuration which minimizes expected reconstruction error. By approximating the forward system as a circular convolution and making assumptions on the source and noise, we greatly reduce the complexity of the algorithm. Numerical results show that the configuration found by the algorithm significantly improves the reconstruction performance compared to a standard configuration.
KW - Spectral imaging
KW - computational imaging
KW - diffractive optics
KW - measurement configuration
KW - subset selection
UR - http://www.scopus.com/inward/record.url?scp=85098652484&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098652484&partnerID=8YFLogxK
U2 - 10.1109/ICIP40778.2020.9191355
DO - 10.1109/ICIP40778.2020.9191355
M3 - Conference contribution
AN - SCOPUS:85098652484
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 281
EP - 285
BT - 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Image Processing, ICIP 2020
Y2 - 25 September 2020 through 28 September 2020
ER -