Abstract
Imagine a world in which each photo, printed or digitally displayed, hides arbitrary digital data that can be accessed through an internet-connected imaging system. Another way to think about this is physical photographs that have unique QR codes invisibly embedded within them. This paper presents an architecture, algorithms, and a prototype implementation addressing this vision. Our key technical contribution is StegaStamp, the first steganographic algorithm to enable robust encoding and decoding of arbitrary hyperlink bitstrings into photos in a manner that approaches perceptual invisibility. StegaStamp comprises a deep neural network that learns an encoding/decoding algorithm robust to image perturbations that approximate the space of distortions resulting from real printing and photography. Our system prototype demonstrates real-time decoding of hyperlinks for photos from in-the-wild video subject to real-world variation in print quality, lighting, shadows, perspective, occlusion and viewing distance. Our prototype system robustly retrieves 56 bit hyperlinks after error correction – sufficient to embed a unique code within every photo on the internet.
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URL
http://arxiv.org/abs/1904.05343