摘要
为解决目前复制粘贴伪造检测算法鲁棒性较差、检测精度低等不足,提出非抽样小波变换(UWT)耦合泽尼克矩(Zernike)的复制移动图像伪造检测算法。利用非抽样小波变换将输入图像分解为近似系数LL和详细系数HH,得出块与块间的相似性和差异度;划分重叠块,计算图像子块间距;根据LL相似性和HH差异性排序分类;引入泽尼克矩,构建距离矩阵,进行图像特征匹配,对图像进行伪造检测。实验结果表明,该算法具有很好的平移不变性和幅值旋转不变性,抗后处理性能好,精测精度高,漏检率和误检率低。
Aiming at the poor robustness and low detection accuracy of the copy paste forgery detection algorithm,the copy-moving image forgery detection algorithm based on non-sampling wavelet transform coupled Zernike moment was proposed.The input image was decomposed into approximation coefficients LL and detail coefficients HH,the similarity and difference between the blocks were obtained.LL the HH were divided into overlapping blocks,the image sub block spacing was calculated.According to the LL band similarity and HH band difference,sorting was proceeded.Zernike moment was introduced,and distance matrix was constructed,image feature matching was proceeded,the image of forgery was then detected.Experimental results show that：this algorithm has translation invariance and rotation invariance of the amplitude and good performance of anti-posttreatment with high measuring accuracy and low false detection and missed detection rate.
出处
《计算机工程与设计》
北大核心
2016年第6期1588-1592,共5页
Computer Engineering and Design
关键词
非抽样小波变换
泽尼克矩
复制粘贴
图像伪造检测
鲁棒性
non sampling wavelet transform
Zelnick moment
copy-paste
image forgery detection
robustness
