A lightweight CNN trained on a custom augmented dataset classifies payload, data, and overhead frames in a smartphone screen-to-camera VLC link with about 98.74% accuracy, claimed to improve synchronization.
Non-Blind Image Restoration Technique in Screen–to–Camera based Optical Camera Communications,
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A Novel Frame Identification and Synchronization Technique for Smartphone Visible Light Communication Systems Based on Convolutional Neural Networks
A lightweight CNN trained on a custom augmented dataset classifies payload, data, and overhead frames in a smartphone screen-to-camera VLC link with about 98.74% accuracy, claimed to improve synchronization.