Network-adaptive encoding reduces end-to-end latency in cloud-based visual preprocessing for neuroprostheses during congestion while preserving global scene structure at the cost of sharper boundary degradation.
Enhancing object contrast using augmented depth improves mobility in patients implanted with a retinal prosthesis,
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Network-Adaptive Cloud Processing for Visual Neuroprostheses
Network-adaptive encoding reduces end-to-end latency in cloud-based visual preprocessing for neuroprostheses during congestion while preserving global scene structure at the cost of sharper boundary degradation.