基于Tamura纹理特征的Copy-Move图像篡改盲检测

针对图像盲认证中一种常见的Copy-Move型图像篡改，提出了基于图像的Tamura纹理特征的Copy-Move型篡改区域的检测和定位算法。该算法提取每一图像块的Tamura纹理特征组成图像的特征向量，用字典排序法对特征向量进行排序，利用欧式距离计算图像块的相似性，以检测和定位被篡改的图像区域。实验结果表明，该算法能有效地检测和定位被篡改的图像区域。

Blind detection of Copy-Move forgery in digital images based on Tamura texture features

Copy-Move is a common digital image forgery in the research field of image blind authentication. This paper implements the algorithm of detecting and locating the Copy-Move forgery region in one image based on Tamura texture features. In the algorithm, the eigenvectors of image are made up by extracting the Tamura texture features of every image block. Then the eigenvectors of image are sorted by dictionary ordering. The algorithm computes the similarity of the im-age blocks by Euclidean distance for detecting and locating the forged image region. The experimental result indicates that the algorithm can detect and locate the the forged image region effectively.