Bionic Vision Processing for Epiretinal Implant-Based Metaverse

Haiyang Hu, Chao Ping Chen, G. Li, Ziming Jin, Qiang Chu, Baoen Han, Seak Pang Zou

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

Abstract

We present an epiretinal implant featuring bionic vision processing as a paradigm shift of metaverse. The main contribution of this work is to provide a methodology to better understand the human vision and to reproduce the stepwise images along the visual pathway. The epiretinal implant functions by stimulating the axons of ganglions to transmit the visual information to the brain. For the information on virtual environments to be correctly processed by the brain, our bionic vision processing is capable of transforming the digital images into neural images by factoring into the physiological pipelines of vision. The principles or algorithms of visual pathway, field of vision, visual acuity, foveated blurring, bilateral neural image fusion, depth perception, edge detection, and saliency detection are discussed. Our simulation results include the retinal images, neural images, depth map, edge map, and saliency map.
Original languageEnglish
JournalACS Applied Optical Materials
Early online date23 May 2024
DOIs
Publication statusPublished - 26 Jul 2024

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