The use of multi-aperture cameras is one of the modern trends for imaging devices, both consumer-grade and professional. This paper presents the creation of multi-aperture cameras based on long-focus single diffraction lenses. These lenses are several times better than the common lenses in terms of weight and cost, but they are significantly inferior in quality of the resulting image, and therefore they require computational reconstruction stage. We introduce various schemes of multi-aperture diffraction lenses, allowing to increase both the viewing angle and the resolution of the imaging system. We propose a convolutional neural network for image reconstruction in multi-aperture diffraction optical systems.
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.