Phase-Coded Computational Imaging For Accommodation-Invariant Near-Eye Displays

Abstract

We present an accommodation-invariant computational neareye display based on the extended depth of field imaging. The eyepiece of the display consists of a diffractive optical element (DOE) that is used in tandem with a conventional refractive lens. The DOE is co-designed with the pre-processing convolutional neural network, which is analogous to the post-processing deblurring networks in image capture. We demonstrate through simulations that such system achieves accommodation-invariant imaging within 2 Diopters depth range without significantly sacrificing spatial resolution.