智能系统学报2026，Vol.21Issue(1)：72-82,11.DOI:10.11992/tis.202507022
一种金字塔增强的抗噪水印方法:面向鲁棒高质量的图像保护
Pyramid-enhanced noise-resilient watermarking for robust and high-quality image protection
摘要
Abstract
To address the widespread issue of unauthorized reuse of images in digital media,robust blind watermarking is essential.However,existing methods struggle to simultaneously withstand real-world noise attacks while maintaining high extraction accuracy and excellent visual quality.To this end,we propose Pyramid-Enhanced Noise-Resilient Wa-termarking(PENRW),which leverages pyramid-based multi-scale feature embedding and a watermark-decoding qual-ity enhancement module to achieve highly accurate watermark extraction under strong noise with minimal image qual-ity degradation.Experiments demonstrate that our method surpasses current state-of-the-art approaches in both robust-ness and visual fidelity.关键词
盲水印/信息隐藏/版权保护/多尺度特征/鲁棒性/噪声攻击/端到端学习/深度水印Key words
blind watermarking/information hiding/copyright protection/multi-scale features/robustness/noise at-tacks/end-to-end learning/deep watermarking分类
信息技术与安全科学引用本文复制引用
姜昊,姚宇晗,王嘉豪,李星辰,王丁科,汤新坤,李俊韬,寇菲菲..一种金字塔增强的抗噪水印方法:面向鲁棒高质量的图像保护[J].智能系统学报,2026,21(1):72-82,11.基金项目
国家重点研发计划青年科学家项目(2021YFF0900200) （2021YFF0900200）
国家自然科学基金项目(62002027,62472042,62572075) （62002027,62472042,62572075）
北京物资学院系统科学研究院开放课题(BWUISS31) （BWUISS31）
北京市自然科学基金项目(L233034,L257023) （L233034,L257023）
中央高校基本科研业务费(2025TSQY01). （2025TSQY01）
