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An Efficient Copy-Move Detection Algorithm Based on Superpixel Segmentation and Harris Key-Points

机译：基于超像素分割和哈里斯关键点的高效复制移动检测算法

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摘要

Region duplication is a commonly used operation in digital image processing. Since region duplication could be utilized to easily tamper the raw content by intentional attackers, it has become a very important topic in image forensics. Most of the existing detection methods designed to region duplication are based on the exhaustive block-matching of image pixels or transformed coefficients. They may be not efficient when the duplicate regions are relatively smooth, or processed by some geometrical transformations. This has motivated us to propose a reliable copy-move forgery detection algorithm based on super-pixel segmentation and Harris key-points to improve the detection accuracy due to these specified attacks. For a given image, the proposed method first uses SLIC super-pixel segmentation and cluster analysis technique to partition the image content into complex regions and smooth regions. Then, a region description method based on sector mean is introduced to represent the relatively small image regions around each Harris point by adopting a well-designed feature vector. Thereafter, for both complex regions and smooth regions, we perform the feature matching operation, which is finally exploited to locate the tampered region. Experimental results have shown that, our algorithm significantly outperform some related works in terms of the detection accuracy when the test images are processed by blurring, adding noise, JPEG compression and rotating, which has shown the superior of our work.
机译：区域复制是数字图像处理中的常用操作。由于区域复制可以被故意的攻击者轻易地篡改原始内容，因此它已成为图像取证中非常重要的主题。设计用于区域复制的大多数现有检测方法都是基于图像像素或变换系数的穷举块匹配。当重复区域相对平滑或通过某些几何变换处理时，它们可能效率不高。这促使我们提出一种基于超像素分割和哈里斯关键点的可靠的复制移动伪造检测算法，以提高由于这些特定攻击而导致的检测精度。对于给定的图像，该方法首先使用SLIC超像素分割和聚类分析技术将图像内容分为复杂区域和平滑区域。然后，通过采用精心设计的特征向量，引入了一种基于扇区均值的区域描述方法来表示每个哈里斯点周围相对较小的图像区域。此后，对于复杂区域和平滑区域，我们都执行特征匹配操作，最后利用该特征匹配操作来定位被篡改的区域。实验结果表明，在通过模糊，增加噪声，JPEG压缩和旋转对测试图像进​​行处理时，我们的算法在检测精度方面明显优于一些相关的工作，这表明我们的工作是优越的。

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