A survey on passive image copy-move forgery detection
A survey on passive image copy-move forgery detection
复制标题
被动图像复制移动伪造检测综述
DOI：
10.3745/jips.02.0078
复制
发表时间：
2018
影响因子：
1.6
通讯作者：
Xiao Zhou
中科院分区：
文献类型：
--
作者：
Zhi Zhang;Chengyou Wang;Xiao Zhou
随着科学技术的飞速发展，通过多样化的多媒体媒体获取丰富的信息变得越来越方便。然而，多媒体内容很容易被不同的编辑软件更改，多媒体内容的真实性和完整性受到威胁。取证技术就是为了解决这个问题而发展起来的。在本综述中，我们重点回顾了针对复制-移动伪造的盲图像取证技术。复制-移动伪造是一种最常见的篡改图像的方式，通常是通过平面区域遮挡对象或将对象附加到同一图像中。回顾了复制-移动伪造的两种经典模型，总结了复制-移动伪造检测(CMFD)方法的两种框架。然后，将海量CMFD方法主要分为两类，回顾了CMFD技术的发展过程，包括基于块的CMFD和基于关键点的CMFD。此外，本文还收集了用于评价CMFD方法性能的性能评价标准和数据集。最后，给出了未来的研究方向和结论，为该领域的研究者提供了有益的建议。
With the rapid development of the science and technology, it has been becoming more and more convenient to obtain abundant information via the diverse multimedia medium. However, the contents of the multimedia are easily altered with different editing software, and the authenticity and the integrity of multimedia content are under threat. Forensics technology is developed to solve this problem. We focus on reviewing the blind image forensics technologies for copy-move forgery in this survey. Copy-move forgery is one of the most common manners to manipulate images that usually obscure the objects by flat regions or append the objects within the same image. In this paper, two classical models of copy-move forgery are reviewed, and two frameworks of copy-move forgery detection (CMFD) methods are summarized. Then, massive CMFD methods are mainly divided into two types to retrospect the development process of CMFD technologies, including block-based and keypoint-based. Besides, the performance evaluation criterions and the datasets created for evaluating the performance of CMFD methods are also collected in this review. At last, future research directions and conclusions are given to provide beneficial advice for researchers in this field.