基于结构相似的改进SIFT图像复制 粘贴篡改检测

基于SIFT算法的复制-粘贴篡改检测方法中用广义2NN测试获得的匹配点对存在错误匹配,产生误匹配点,针对这一问题,提出了一种利用匹配点对间的结构相似性对广义2NN测试得到的匹配点对进行提纯,剔除误匹配点对,提高匹配正确率;误匹配点对的剔除,减少了匹配点对,使后续的聚类和几何评估操作减少了时间,由此提高了整个算法的执行效率;实验表明改进算法性能有较大提升。

Improved SIFT Image Copy Paste Tampering Detection Based on Structural Similarity

SIFT is a commonly used matching algorithm, which is commonly used in image copy paste tampering detection. Based on the SIFT algorithm, the matching point pairs are obtained by the generalized 2NN test in the copy paste tampering detection method, there is an error match to produce the wrong match points. Therefore, this paper proposes a method to purify the matching points obtained from the generalized 2NN test by using the structural similarity between the matching points. The error matching points are eliminated and the matching accuracy is improved. Because the error matching point pairs are eliminated, the matching points are reduced. The time of clustering and geometrical assessment of subsequent operation is reduced, thereby the efficient execution of the algorithm is improved. The efficiency of the implementation of the entire algorithm is improved. Finally, the experiment shows that the improved algorithm has improved the performance