When information is spatially repeated in self-similar fractal beam patterns, only a portion of the diffracted beam is needed to reconstruct the kernel data. What is unique to a fractal-encoding scheme is that the image demultiplexing process can be, to a first approximation, easily performed optically. In prior work, we experimentally and numerically study fractal-encoded optical beams and their mid- and far-field propagation without added turbulence. Here, we present preliminary simulations of fractal-encoded beams with high turbulence (C2n ≥ 10−14 m−2/3 ) where we achieve respectable bit error rates of 10−3 . These results are impressive given that: data with low fractal orders is shown, simple threshold-algorithms are used (i.e., no machine learning), and only a third of the beam, off-axis, is needed. More robust channel encoding is associated with increased fractal orders, larger collection areas, and higher kernel singular value decomposition entropy.
An insect's response time to visual stimuli generally surpasses that of current autonomous machine vision systems with more complicated hardware. One hypothesis that we have considered is that insects’ extraordinary flight and navigation capabilities involve optical preprocessing from self-assembled, diffractive corneal optics. This paradigm parallels recent research in hybrid computer vision, which is of interest due to the growing computational costs of deep-learning-based image processing. Here, we summarize our research and motivation on fly-inspired diffractive optical encoding with conducting-polymer self-assembled polarimetric thin-film encoders. We emphasize the role of defects and vortex phase encoding and analyze the dipole scattering efficiency from nanofibrous structures.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.