低频快速切比雪夫矩的篡改图像检测算法

Tamper Image Detection Algorithm for Low Frequency Fast Tchebichef Moment

针对图像复制粘贴篡改的检测及篡改区域定位的研究,提出了一种低频快速切比雪夫矩的篡改图像检测算法.首先用非抽样小波变换对图像分解,选取图像的低频部分进行重叠分块,提取改进的低频快速切比雪夫矩做为特征向量,然后采用PatchMatch算法对提取的块特征匹配,最后用稠密线性拟合算法去除误匹配并且用形态学操作完成最后的篡改区域定位.与现有的篡改图像检测算法相比,所提出的算法对于单区域篡改、单区域多次篡改以及多区域篡改均具有较好的定位效果,并且减少了算法的运行时间,提高了实时性.

Aiming at the research of image copying and tampering detection and tampering area localization,a tamper image detection algorithm for low frequency fast Tchebichef moment is proposed.Firstly,the image is decomposed by non-sampling wavelet transform,and the low-frequency part of the image is selected for overlapping segmentation.The improved low frequency fast Tchebichef moment is extracted as the feature vector.Then the PatchMatch algorithm is used to match the extracted block features.Finally,the dense linear fitting algorithm is used to remove the mismatch and the morphological operation is used to complete the final tamper region localization.Compared with the existing tampering image detection algorithm,the proposed algorithm has better positioning effect for single-region tampering,multiple tampering and multi-region tampering,and reduces the running time of the algorithm,and improves the real-time performance.