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通过ELA-CNN集成检测图像操纵:用于真实性验证的强大框架.

Ahmad M Nagm1, Mona M Moussa2, Rasha Shoitan2

  • 1Department of Computer Engineering and Electronics, Cairo Higher Institute for Engineering, Computer Science and Management, Cairo, Egypt.

PeerJ. Computer science
|August 15, 2024
PubMed
概括

本研究介绍了一种使用错误级别分析 (ELA) 和卷积神经网络 (CNN) 的新型图像伪造检测算法. 该方法有效地识别操纵的图像,实现高精度和超越现有技术.

关键词:
在美国,CNN是CNN.复制 - 移动这就是ELALA.伪造 伪造 伪造 伪造图像拼接 图像拼接 图像拼接改行为 改行为

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相关概念视频

Force Classification01:22

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...