TY - JOUR
T1 - Color image identification and reconstruction using artificial neural networks on multimode fiber images
T2 - Towards an all-optical design
AU - Shabairou, Nadav
AU - Cohen, Eyal
AU - Wagner, Omer
AU - Malka, Dror
AU - Zalevsky, Zeev
N1 - Publisher Copyright:
© 2018 Optical Society of America
PY - 2018/11/15
Y1 - 2018/11/15
N2 - The rapid growth of applications that rely on artificial neural network (ANN) concepts gives rise to a staggering increase in the demand for hardware implementations of neural networks. New types of hardware that can support the requirements of high-speed associative computing while maintaining low power consumption are sought, and optical artificial neural networks fit the task well. Inherently, optical artificial neural networks can be faster, support larger bandwidth, and produce less heat than their electronic counterparts. Here we propose the design of an optical ANN-based imaging system that has the ability to self-study image signals from an incoherent light source in different colors. Our design consists of a combination of a multimode fiber and a multi-core optical fiber realizing a neural network. We show that the signals, transmitted through the multimode fiber, can be used for image identification purposes and can also be reconstructed using ANNs with a low number of nodes. An all-optical solution can then be achieved by realizing these networks with the multi-core optical neural network fiber.
AB - The rapid growth of applications that rely on artificial neural network (ANN) concepts gives rise to a staggering increase in the demand for hardware implementations of neural networks. New types of hardware that can support the requirements of high-speed associative computing while maintaining low power consumption are sought, and optical artificial neural networks fit the task well. Inherently, optical artificial neural networks can be faster, support larger bandwidth, and produce less heat than their electronic counterparts. Here we propose the design of an optical ANN-based imaging system that has the ability to self-study image signals from an incoherent light source in different colors. Our design consists of a combination of a multimode fiber and a multi-core optical fiber realizing a neural network. We show that the signals, transmitted through the multimode fiber, can be used for image identification purposes and can also be reconstructed using ANNs with a low number of nodes. An all-optical solution can then be achieved by realizing these networks with the multi-core optical neural network fiber.
UR - http://www.scopus.com/inward/record.url?scp=85056449370&partnerID=8YFLogxK
U2 - 10.1364/ol.43.005603
DO - 10.1364/ol.43.005603
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 30439920
AN - SCOPUS:85056449370
SN - 0146-9592
VL - 43
SP - 5603
EP - 5606
JO - Optics Letters
JF - Optics Letters
IS - 22
ER -