用于高分辨率图像的高容量鲁棒水印技术
High-Capacity Robust Watermarking Technology for High-Resolution Images
- School of Information, Guizhou University of Finance and Economics（贵州财经大学信息学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
针对高分辨率图像水印问题，本文提出分块策略，采用可逆对称架构的编解码器及结合全局和局部损失的损失函数，实现高容量水印嵌入，实验验证该方法有效可行且鲁棒性强。
AI中文摘要：
大多数现有水印技术主要针对低分辨率图像设计，适用于高分辨率图像的方法很少，且嵌入容量常限于固定长度，难以满足实际需求。本文提出一种用于高分辨率图像的高容量鲁棒水印方法，能将4KB（32768位）水印嵌入1024*1024分辨率图像，嵌入率达0.0313bpp。采用分块策略有效嵌入水印，编码器和解码器结构采用可逆对称架构，损失函数结合全局和局部损失。实验结果验证了该方法在高分辨率图像场景中进行高容量水印嵌入时有效可行，且对各种噪声攻击具有强鲁棒性。
英文摘要：
Most existing watermarking techniques are primarily designed for low-resolution images, with few methods tailored for high-resolution images. Moreover, the embedding capacity is often limited to fixed lengths (e.g., 30, 100, 256 bits, etc.), which struggles to meet practical demands. To address these issues, this paper proposes a high-capacity robust watermarking method for high-resolution images, capable of embedding a watermark of 4 KB (32,768 bits) into images with a resolution of 1024*1024, achieving an embedding rate of 0.0313 bpp. Specifically, this paper adopts a block-wise strategy to effectively embed the watermark into local regions, enabling the network to train and learn normally even under low-resource conditions. The encoder and decoder structures respectively employ a reversible symmetric architecture with three convolutional and three deconvolutional layers, ensuring consistency in the coupling and decoupling of the watermark and image features. Additionally, the loss function combines global and local losses with weighted contributions. By incorporating constraints on the visual quality and robustness of local block regions, the overall imperceptibility and robustness of the image are further enhanced. Extensive experimental results verify that the proposed method is effective and feasible in high-resolution image scenarios with high-capacity watermarking, while demonstrating strong robustness against various noise attacks.
