期刊
MULTIMEDIA TOOLS AND APPLICATIONS
卷 75, 期 23, 页码 16577-16595出版社
SPRINGER
DOI: 10.1007/s11042-016-3575-z
关键词
Digital image forgery; Copy-move forgery; Upsampled log-polar Fourier features; Common processing pipeline
Digital image forgery is becoming increasingly popular with the rapid progress of digital media editing tools. Copy-move forgery (CMF) is one of the most common methods of digital image forgery. For CMF detection (CMFD), we propose an upsampled log-polar Fourier (ULPF) descriptor that is robust to several geometric transformations including rotation, scaling, sheering, and reflection. We first describe the theoretical background of the ULPF representation. Then, we propose a feature extraction algorithm that can extract rotation and scale invariant features from the ULPF representation. In addition, we analyze the common CMFD processing pipeline and improve a part of processing pipeline to efficiently handle various types of tampering attacks. In our simulation, we present comparative results between the proposed feature descriptor and state-of-the-art ones with proven performance guarantees.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据