University of North Carolina at Chapel Hill

Praneeth Kumar Chakravarthula

Henry Fuchs

Felix Heide

Mathew Abuya Atisa

Nicholas William Caira

Mohammad Hossein Eybposh

Nicolas Christian Richard Pégard

The goal of computer generated holography (CGH) is to synthesize custom illumination patterns by shaping the wavefront of a coherent light beam. Existing algorithms for CGH rely on iterative optimization with a fundamental trade-off between hologram fidelity and computation speed, making them inadequate for high-speed holography applications such as optogenetic photostimulation, optical trapping, or virtual reality displays. We propose a new algorithm, DeepCGH, that relies on a convolutional neural network to eliminate iterative exploration and rapidly synthesize high resolution holograms with fixed computational complexity. DeepCGH is an unsupervised model which can be tailored for specific tasks with customizable training data sets and an explicit cost function. Results show that our method computes 3D holograms at record speeds and with better accuracy than existing techniques.

High-speed computer generated holography using convolutional neural networks

A method for digital holography includes modeling a hologram using a forward propagation model that models propagation of a light field from a hologram plane to an image plane. The method further includes computing the hologram as a solution to an optimization problem that is based on the model. The method further includes configuring at least one spatial light modulator using the hologram. The method further includes illuminating the spatial light modulator using a light source to create a target image.

Methods, systems, and computer readable media for improved digital holography and display incorporating same

A system for providing auto-focus augmented reality (AR) viewing of real and virtual objects includes a frame for holding AR viewing components on a user's head and optically in front of the user's eyes. The AR viewing components include an internal virtual objects display for displaying virtual objects to a user. Internal and external focus correction modules respectively adjust focal distances of virtual and real objects, are respectively configurable to adjust the focal distances of the virtual and real objects differently based on the different user vision types, and operate to respectively adjust the focal distances of the virtual and real objects such that the virtual and real objects are simultaneously in focus based on the vision type of the user.

Growing community of inventors

Carrboro, NC, United States of America

Praneeth Kumar Chakravarthula