DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization

arXiv:2405.03436v1 Announce Type: new
Abstract: Embedding invisible hyperlinks or hidden codes in images to replace QR codes has become a hot topic recently. This technology requires first localizing the embedded region in the captured photos before decoding. Existing methods that train models to find the invisible embedded region struggle to obtain accurate localization results, leading to degraded decoding accuracy. This limitation is primarily because the CNN network is sensitive to low-frequency signals, while the embedded signal is typically in the …

abstract arxiv become cs.cv cs.mm decoding embedded embedding head hidden hot images localization network neural network photos qr codes struggle technology train type