Improving Image Copy-Move Forgery Detection with Particle Swarm Optimization Techniques

• 作 者: SHI Wenchang ZHAO Fei QIN Bo L
• 机 构: SchoolofInformation
• 出 处: 中国通信：英文版
• 发表日期: 2016年1期
• 关键词: 粒子群优化算法 图像复制 检测结果 优化技术 伪造 SIFT 移动 CMF copy-move forgery detection SIFT region du
• 基金项目: supported in part by the National Natural Science Foundation of China under grant No.（61472429,61070192,91018008,61303074,61170240）, Beijing Natural Science Foundation under grant No.4122041, National

Copy-Move Forgery(CMF) is one of the simple and effective operations to create forged digital images.Recently,techniques based on Scale Invariant Features Transform(SIFT) are widely used to detect CMF.Various approaches under the SIFT-based framework are