研究人员开发了CrosInv，一种高效的跨尺度可逆隐藏网络，用于在封面图像中隐藏图像级消息。该新网络通过采用跨尺度和空间-频率协作特征，增强了非线性表示能力，从而解决了现有方法的局限性。CrosInv利用具有像素重排和Haar小波变换的跨尺度可逆模块进行尺度集成，以及一个非可逆的跨密集模块来增强非线性。实验结果证明了CrosInv网络的有效性和优越性。 AI
影响 引入了一种可能改进数字图像数据隐藏技术的新型网络架构。
排序理由 该集群包含一篇详细介绍用于图像隐藏的新网络架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.25547v1 Announce Type: new Abstract: Image hiding aims to conceal image-level messages within cover images at the same resolution. Invertible neural networks (INN)-based image hiding has emerged as an important branch. It treats concealing and revealing as a pair of in…
Image hiding aims to conceal image-level messages within cover images at the same resolution. Invertible neural networks (INN)-based image hiding has emerged as an important branch. It treats concealing and revealing as a pair of inverse problems on image domain transformation an…