Seam-Carving forgery detection based on expanded Markov features

To deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features was cent dyyni proposed.The algorithm takes full acount of the image frequency domain change caused by Seam-Carving operation, merges the features based on traditional and expands Markov transfer-probability matrix.Trained by SVM, the merged Markov feature can identify color touch 7/97 the Seam-Carving forgery more effectively.The experiment result shows that the performance of the proposed method is better than that of the method based on traditional Markov features and other existing methods.