MSCSCC-Net:用于伪造检测和定位JPEG压缩图像的多尺度上下文空间通道相关联网络.
Wuyang Shan1, Jingchuan Yue2, Steven X Ding3
1Chengdu University of Technology, Chengdu, 610059, China. shanwuyang@cdut.edu.cn.
Scientific reports
|April 11, 2025
概括
这项研究引入了一个新的网络来检测图像伪造,即使是JPEG压缩文物. 多尺度上下文空间通道相关联网络 (MSCSCC-Net) 有效地识别和删除压缩问题,同时保留伪造证据.
科学领域:
- 数字图像法医学 数字图像法医学
- 计算机视觉 计算机视觉
- 信号处理 信号处理
背景情况:
- JPEG压缩文物可以掩盖数字图像伪造.
- 现有的伪造检测方法在JPEG压缩方面遇到了困难.
- 精确检测和定位压缩图像中的假冒仍然是一个挑战.
研究的目的:
- 开发一个新的网络来检测和定位JPEG压缩图像中的假冒.
- 为了应对JPEG文物掩盖伪造证据的挑战.
- 为了同时删除JPEG文物,同时保留伪造痕迹.
主要方法:
- 引入了一个多尺度的上下文空间通道相关联网络 (MSCSCC-Net).
- 采用多尺度机制来处理不同尺度的造面积.
- 设计的上下文空间相关模块 (CSCM) 和上下文通道相关模块 (CCCM) 用于特征提取.
- 利用合特征进行粗细伪造检测和面具生成.
- 集成的JPEG文物删除作为网络任务,确保伪造文物保留.
主要成果:
- 在MSCSCC-Net中,假冒检测和本地化性能得到了改进.
- 该网络有效地区分了JPEG文物,伪造文物和真实区域.
- 实现了同时删除JPEG文物和保存伪造证据.
- 实验结果显示,与最先进的方法相比,其性能优越.
结论:
- MSCSCC-Net提供了一个强大的解决方案,用于在JPEG压缩图像中检测和定位伪造.
- 拟议的网络有效地处理尺度变化,并区分文物类型.
- 移除文物和检测伪造的综合方法提高了系统的整体性能.
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