Seam-Carving forgery detection based on expanded Markov features

Seam-Carving forgery detection based on expanded Markov features

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To deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features Acrylic Insulated Tumbler With Straw was 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 GINKGO MEMORY CAPS Markov transfer-probability matrix.Trained by SVM, the merged Markov feature can identify 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.