Copy-move forgery detection based on compact color content descriptor and Delaunay triangle matching
Copy-move forgery detection based on compact color content descriptor and Delaunay triangle matching
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基于紧凑颜色内容描述符和Delaunay三角形匹配的复制移动伪造检测
DOI：
10.1007/s11042-018-6354-1
复制
发表时间：
2018-07
影响因子：
3.6
通讯作者：
Niu Pan pan
中科院分区：
文献类型：
--
作者：
Wang Xiang yang;Jiao Li xian;Wang Xue bing;Yang Hong ying;Niu Pan pan
复制-移动（区域复制）是最常见的图像伪造类型之一，其中至少将图像的一部分复制并粘贴到同一图像的另一个区域。复制移动伪造的主要目的是通过复制某些区域来过度强调一个概念或隐藏对象。基于关键点的复制-移动伪造检测（CMFD）方法提取图像特征点，利用图像局部特征识别重复区域，在内存需求、计算成本和鲁棒性等方面具有显著的检测性能。然而，当物体隐藏在平滑的背景区域时，它们通常不能很好地工作。此外，由于图像局部特征计算差，往往会降低检测和定位的精度。在本文中，我们提出了一种基于颜色不变性SIFER（具有错误恢复能力的尺度不变特征检测器）和FQRHFMs（快速四元数径向谐波傅立叶矩）的复制-移动伪造检测和定位的新方法。首先，将原始伪造图像分割成不重叠且接近均匀的超像素块，并结合超像素内容和颜色不变性SIFER自适应提取稳定的关键点；其次，利用提取的图像关键点构造一组连通的Delaunay三角形，并利用FQRHFMs和梯度熵计算每个Delaunay三角形的局部特征；第三，利用图像局部特征和相干敏感散列（CSH）快速匹配Delaunay三角形。最后，采用密集线性拟合（DLF）去除错误匹配的Delaunay三角形，并采用优化的零均值归一化互相关（ZNCC）度量对重复区域进行定位。我们进行了大量的实验来评估所提出的复制-移动伪造检测方案的性能，其中令人鼓舞的结果验证了所提出技术的有效性。
Copy-move (region duplication) is one of the most common types of image forgeries, in which at least one part of an image is copied and pasted onto another area of the same image. The main aims of the copy-move forgery are to overemphasize a concept or conceal objects by duplicating some regions. Keypoint based copy-move forgery detection (CMFD) method extracts image feature points and employs local image features to identify duplicated regions, which exhibits remarkable detection performance with respect to memory requirement, computational cost, and robustness. However, they usually do not work well when the objects are hidden in smooth background areas. Also, the detection and localization accuracy always be lowered because of poor local image feature computation. In this paper, we present a novel approach for the detection and localization of copy-move forgeries, which is based on color invariance SIFER (Scale-invariant feature detector with error resilience) and FQRHFMs (Fast quaternion radial harmonic Fourier moments). Firstly, the original forgery image is segmented into nonoverlapping and nearly uniform superpixel blocks, and the stable keypoints are extracted adaptively from each superpixel block by incorporating the superpixel contents and color invariance SIFER. Secondly, a set of connected Delaunay triangles is constructed using the extracted image keypoints, and suitable local image feature for each Delaunay triangle is computed by using FQRHFMs and gradient entropy. Thirdly, the local image features and coherency sensitive hashing (CSH) are utilized to match quickly the Delaunay triangles. Finally, the falsely matched Delaunay triangles are removed by employing dense linear fitting (DLF), and the duplicated regions are localized using optimized zero mean normalized cross-correlation (ZNCC) measure. We conduct extensive experiments to evaluate the performance of the proposed copy-move forgery detection scheme, in which encouraging results validate the effectiveness of the proposed technique.
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DOI：
10.1109/iccv.2011.6126421
发表时间：
2011-11
期刊：
2011 International Conference on Computer Vision
影响因子：
--
作者：
Simon Korman;S. Avidan
通讯作者：
Simon Korman;S. Avidan
DOI：
10.1109/tpami.2013.107
发表时间：
2014-01
影响因子：
23.6
作者：
Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;R. Chellappa
通讯作者：
Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;R. Chellappa
彩色图像检索的不变四元数径向调和傅立叶矩
影响因子：
5
作者：
Wang xiangyang;Li weiyi;Yang hongying
通讯作者：
Yang hongying
影响因子：
4.4
作者：
Meera Mary Isaac;M. Wilscy
通讯作者：
Meera Mary Isaac;M. Wilscy
影响因子：
2.2
作者：
Yanjun Cao;Tiegang Gao;Li Fan;Qunting Yang
通讯作者：
Yanjun Cao;Tiegang Gao;Li Fan;Qunting Yang