MGSA-Type Computer-Generated Holography for Vision Training With Head-Mounted Display

Abstract

A computer-generated holography head-mounted display (HMD) for vision training is proposed in this study. Based on modified Gerchberg-Saxton algorithm (MGSA) to calculate the phase distribution of light wave and the position multiplexing, the images with fixation disparity or changed disparity are successfully coded as phase only function. After decryption and reconstruction, the left and the right images are transmitted to HMD for a trainee viewing the images with disparity changes and moderating the stereoacuity of both eyes, ranging from 32.24 arcsec to 2.14 arcmin. The images reconstructed with MGSA-type CGH present the relative diffraction efficiency about 86% and visibility 94%, which not only provide high-contrast image quality, and the changing disparity allows achieving the training effect.