TY - GEN
T1 - Flat focus
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
AU - Tan, Jasper
AU - Boominathan, Vivek
AU - Veeraraghavan, Ashok
AU - Baraniuk, Richard
N1 - Funding Information:
This work was supported in part by NSF grants CCF-1527501, CCF-1502875, and CNS-1338099, by NGA grant HM04761510007, and by the Ken Kennedy Institute Computer Science and Engineering Enhancement Fellowship, funded by the Rice Oil and Gas HPC Conference.
Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - Lensless imaging systems, such as the recently proposed FlatCam, offer numerous advantages over lens-based systems such as a thin form-factor, low cost, and higher light throughput. However, little work has been done in analyzing these systems' depth of field characteristics. A depth-dependent calibration step is necessary to obtain the image from the FlatCam measurements, and this calibration determines the system's depth of field. In this paper, we characterize the FlatCam's depth of field properties and show that (a) for scene depths on the order of tens of centimeters, it is possible to perform depth-selective refocusing from a single captured image and (b) for sufficiently large scene depths, calibrating for one depth can provide a very large depth of field.
AB - Lensless imaging systems, such as the recently proposed FlatCam, offer numerous advantages over lens-based systems such as a thin form-factor, low cost, and higher light throughput. However, little work has been done in analyzing these systems' depth of field characteristics. A depth-dependent calibration step is necessary to obtain the image from the FlatCam measurements, and this calibration determines the system's depth of field. In this paper, we characterize the FlatCam's depth of field properties and show that (a) for scene depths on the order of tens of centimeters, it is possible to perform depth-selective refocusing from a single captured image and (b) for sufficiently large scene depths, calibrating for one depth can provide a very large depth of field.
KW - Lensless imaging
KW - coded aperture
KW - depth of field
KW - selective refocusing
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U2 - 10.1109/ICASSP.2017.7953403
DO - 10.1109/ICASSP.2017.7953403
M3 - Conference contribution
AN - SCOPUS:85023756305
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 6473
EP - 6477
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 March 2017 through 9 March 2017
ER -