Abstract
A novel image forensic method based on generalized coefficient-pair histogram in DCT domain was proposed. In the proposed method, firstly, the image is transformed by DCT, and then the differential DCT coefficient matrix of two directions, such as horizontal and vertical direction are computed, the following is to compute the coefficient-pair histogram for each differential DCT coefficient matrix within the given threshold. Finally, support vector machine (SVM) is used to classify the authentic and spliced image through training the feature vectors of authentic and tampered image. The experimental results show that the proposed approach has not only the lower computing complexity; it also outperforms all the state-of-the-art methods in detection rate with the same test database.
An erratum to this chapter is available at DOI: 10.1007/978-3-662-47791-5_51
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-662-47791-5_51
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Fusheng, Y., Gao, T. (2015). A Novel Image Splicing Forensic Algorithm Based on Generalized DCT Coefficient-Pair Histogram. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_8
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DOI: https://doi.org/10.1007/978-3-662-47791-5_8
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