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.
© 2013 IEEE
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