2022
DOI: 10.1111/aor.14247
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An infrared image‐enhancement algorithm in simulated prosthetic vision: Enlarging working environment of future retinal prostheses

Abstract: Background Most existing retinal prostheses contain a built‐in visible‐light camera module that captures images of the surrounding environment. Thus, in case of insufficient or lack of visible light, the camera fails to work, and the retinal prostheses enter a dormant or “OFF” state. A simple and effective solution is replacing the visible‐light camera with a dual‐mode camera. The present research aimed to achieve two main purposes: (1) to explore whether the dual‐mode camera in prosthesis recipients works und… Show more

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Cited by 3 publications
(1 citation statement)
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“…image [39], end-to-end optimization [40], semantic face image translation [41], and electrode-retina distance [6] to supplement the previously un-simulated features or to add new features to current prosthetic vision techniques. This kind of also happened in other prosthetic fields, e.g., prosthetic arm and hand [42].…”
Section: B Neuroprothesis Simulatorsmentioning
confidence: 99%
“…image [39], end-to-end optimization [40], semantic face image translation [41], and electrode-retina distance [6] to supplement the previously un-simulated features or to add new features to current prosthetic vision techniques. This kind of also happened in other prosthetic fields, e.g., prosthetic arm and hand [42].…”
Section: B Neuroprothesis Simulatorsmentioning
confidence: 99%