MGSA-type computer-generated holography for vision training with head-mounted display

Qing Long Deng, Bor-Shyh Lin, Hsuan T. Chang, Guan Syun Huang, Chien Yue Chen

Research output: Contribution to journalArticle

4 Scopus citations


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.

Original languageEnglish
Article number6576119
Pages (from-to)433-437
Number of pages5
JournalIEEE/OSA Journal of Display Technology
Issue number6
StatePublished - 1 Jan 2014


  • Computer-generated holography
  • head-mounted display (HMD)
  • stereo vision

Fingerprint Dive into the research topics of 'MGSA-type computer-generated holography for vision training with head-mounted display'. Together they form a unique fingerprint.

Cite this