影响力指标估计和动态频率选择基于二维映射用于隐藏JPEG可逆数据的JPG-可逆数据.
Haiyong Wang1,2,3, Chentao Lu1
1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Entropy (Basel, Switzerland)
|April 26, 2024
概括
本研究介绍了一种新的JPEG可逆数据隐藏 (RDH) 方法,可以同时优化视觉质量和文件大小的增加. 新方案有效地平衡了数据嵌入与图像恢复,优于现有技术.
科学领域:
- 数字图像处理 数字图像处理
- 信息安全 信息安全
- 史蒂冈图形 (Steganography) 是一种隐藏的图形.
背景情况:
- 现有的JPEG可逆数据隐藏 (RDH) 方法往往无法充分管理文件大小的增加以及视觉扭曲.
- 在数据嵌入过程中需要考虑多个关键指标的RDH技术.
研究的目的:
- 开发一个新的JPEG RDH方案,同时解决视觉扭曲和文件大小增加 (FSI).
- 引入动态频率选择策略,以提高嵌入效率和图像可恢复性.
主要方法:
- 采用二维 (2D) 映射策略来分析非零交流电 (AC) 系数对 (NZACPs) 和它们的运行长度.
- 该方法包括块的预处理阶段和动态频率选择策略.
- 数据嵌入是使用2D直方体转移 (HS) 在根据计算指标选择最佳块组后进行的.
主要成果:
- 与现有方法相比,拟议的JPEG RDH方案表现出优越的性能.
- 在峰值信号与噪声比率 (PSNR) 和优化的FSI.中都观察到持续的改善.
- 该方法有效地平衡了数据隐藏能力与图像完整性和文件大小管理.
结论:
- 开发的JPEG RDH方案为嵌入数据在JPEG图像中的有效解决方案,同时最大限度地减少对文件大小和视觉质量的负面影响.
- 这种方法为隐藏在JPEG压缩中的可逆数据提供了更全面的优化策略.
- 动态频率选择和二维映射有助于该方法的整体效率和有效性.
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