TY - GEN
T1 - Reconstruction from periodic nonlinearities, with applications to HDR imaging
AU - Shah, Viraj
AU - Soltani, Mohammadreza
AU - Hegde, Chinmay
N1 - Funding Information:
This work was supported in part by grants from the National Science Foundation (NSF CCF-1566281) and NVIDIA.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - We consider the problem of reconstructing signals and images from periodic nonlinearities. For such problems, we design a measurement scheme that supports efficient reconstruction; moreover, our method can be adapted to extend to compressive sensing-based signal and image acquisition systems. Our techniques can be potentially useful for reducing the measurement complexity of high dynamic range (HDR) imaging systems, with little loss in reconstruction quality. Several numerical experiments on real data demonstrate the effectiveness of our approach.
AB - We consider the problem of reconstructing signals and images from periodic nonlinearities. For such problems, we design a measurement scheme that supports efficient reconstruction; moreover, our method can be adapted to extend to compressive sensing-based signal and image acquisition systems. Our techniques can be potentially useful for reducing the measurement complexity of high dynamic range (HDR) imaging systems, with little loss in reconstruction quality. Several numerical experiments on real data demonstrate the effectiveness of our approach.
UR - http://www.scopus.com/inward/record.url?scp=85050955006&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050955006&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2017.8335471
DO - 10.1109/ACSSC.2017.8335471
M3 - Conference contribution
AN - SCOPUS:85050955006
T3 - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
SP - 863
EP - 867
BT - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
A2 - Matthews, Michael B.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Y2 - 29 October 2017 through 1 November 2017
ER -