TY - JOUR
T1 - High-resolution imaging using a translating coded aperture
AU - Mahalanobis, Abhijit
AU - Shilling, Richard
AU - Muise, Robert
AU - Neifeld, Mark
N1 - Funding Information:
We gratefully acknowledge the support of the Office of Naval Research (ONR) and the MONITOR program under contract number N00014-14-C-0173. We would also like to thank Dr. Ravi Athale and Dr. Andrew Pipino for their constructive feedback and support during the course of this research effort.
Publisher Copyright:
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE).
PY - 2017/8/1
Y1 - 2017/8/1
N2 - It is well known that a translating mask can optically encode low-resolution measurements from which higher resolution images can be computationally reconstructed. We experimentally demonstrate that this principle can be used to achieve substantial increase in image resolution compared to the size of the focal plane array (FPA). Specifically, we describe a scalable architecture with a translating mask (also referred to as a coded aperture) that achieves eightfold resolution improvement (or 64:1 increase in the number of pixels compared to the number of focal plane detector elements). The imaging architecture is described in terms of general design parameters (such as field of view and angular resolution, dimensions of the mask, and the detector and FPA sizes), and some of the underlying design trades are discussed. Experiments conducted with different mask patterns and reconstruction algorithms illustrate how these parameters affect the resolution of the reconstructed image. Initial experimental results also demonstrate that the architecture can directly support task-specific information sensing for detection and tracking, and that moving objects can be reconstructed separately from the stationary background using motion priors.
AB - It is well known that a translating mask can optically encode low-resolution measurements from which higher resolution images can be computationally reconstructed. We experimentally demonstrate that this principle can be used to achieve substantial increase in image resolution compared to the size of the focal plane array (FPA). Specifically, we describe a scalable architecture with a translating mask (also referred to as a coded aperture) that achieves eightfold resolution improvement (or 64:1 increase in the number of pixels compared to the number of focal plane detector elements). The imaging architecture is described in terms of general design parameters (such as field of view and angular resolution, dimensions of the mask, and the detector and FPA sizes), and some of the underlying design trades are discussed. Experiments conducted with different mask patterns and reconstruction algorithms illustrate how these parameters affect the resolution of the reconstructed image. Initial experimental results also demonstrate that the architecture can directly support task-specific information sensing for detection and tracking, and that moving objects can be reconstructed separately from the stationary background using motion priors.
KW - coded aperture
KW - computational imaging
KW - digital super resolution
KW - task specific imaging
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U2 - 10.1117/1.OE.56.8.084106
DO - 10.1117/1.OE.56.8.084106
M3 - Article
AN - SCOPUS:85028536944
SN - 0091-3286
VL - 56
JO - Optical Engineering
JF - Optical Engineering
IS - 8
M1 - 084106
ER -