Holographic displays have gained attention as ideal displays because of their advantageous properties for perfectly controlling light wavefronts. However, their realization is hindered by the considerable amount of computation required for large holograms. We developed special-purpose computers for holography using field-programmable gate arrays. In this paper, we discuss strategies for next generation special-purpose computers, in which we will implement an oriented-separable convolution, which can compute holograms at high speed. This algorithm has almost the same circuit configuration as that of the previous special-purpose computers and can speed up computation by two to three orders of magnitude. In addition, we describe herein a post-processing technique using deep learning in which low-precision holograms calculated using a special-purpose computer are converted to high-precision holograms via a simple deep neural network.
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.