AURA-Net: A Deep Learning Framework for Robust Authorship Verification in Print-and-Capture Resistant Image Watermarking

The exponential growth of digital imagery across online and printed media has intensified the need for reliable authorship verification systems. Ensuring the integrity of embedded watermarks becomes especially challenging under print-and-capture (P&C) conditions, where halftoning, optical blu...

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Principais autores:	Ramyashree, P. Shashwath, M. S. Muneshwara, S. Raghavendra, B. N. Anoop, P. S. Venugopala
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Authorship verification deep learning digital image watermarking innovation in media authenticity intellectual property security illumination robustness
Acesso em linha:	https://ieeexplore.ieee.org/document/11366122/
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