Citation: | Hao WANG, Jinwei WANG, Xuelong HU, et al., “Detecting Double Mixed Compressed Images Based on Quaternion Convolutional Neural Network,” Chinese Journal of Electronics, vol. 33, no. 3, pp. 1–15, 2024 doi: 10.23919/cje.2022.00.179 |
[1] |
H. Farid, “Seeing is not Believing,” IEEE Spectrum, vol. 46, no. 8, pp. 44–51, 2009. doi: 10.1109/MSPEC.2009.5186556
|
[2] |
A. Rocha, W. Scheirer, T. Boult, et al., “Vision of the unseen: Current trends and challenges in digital image and video forensics,” ACM Computing Surveys, vol. 43, no. 4, article no. articleno.26, 2011. doi: 10.1145/1978802.1978805
|
[3] |
A. Piva, “An overview on image forensics,” International Scholarly Research Notices, vol. 2013, article no. 496701, 2013. doi: 10.1155/2013/496701
|
[4] |
M. C. Stamm, M. Wu, and K. J. R. Liu, “Information forensics: An overview of the first decade,” IEEE Access, vol. 1, pp. 167–200, 2013. doi: 10.1109/ACCESS.2013.2260814
|
[5] |
X. M. Zeng, G. R. Feng, and X. P. Zhang, “Detection of double JPEG compression using modified DenseNet model,” Multimedia Tools and Applications, vol. 78, no. 7, pp. 8183–8196, 2019. doi: 10.1007/s11042-018-6737-3
|
[6] |
J. Lukáš and J. Fridrich, “Estimation of primary quantization matrix in double compressed JPEG images,” in Proceedings Digital Forensic Research Workshop, pp.5–8, 2003.
|
[7] |
F. J. Huang, J. W. Huang, and Y. Q. Shi, “Detecting double JPEG compression with the same quantization matrix,” IEEE Transactions on Information Forensics and Security, vol. 5, no. 4, pp. 848–856, 2010. doi: 10.1109/TIFS.2010.2072921
|
[8] |
J. Q. Yang, J. Xie, G. P. Zhu, et al., “An effective method for detecting double JPEG compression with the same quantization matrix,” IEEE Transactions on Information Forensics and Security, vol. 9, no. 11, pp. 1933–1942, 2014. doi: 10.1109/TIFS.2014.2359368
|
[9] |
Y. K. Niu, X. L. Li, Y. Zhao, et al., “An enhanced approach for detecting double JPEG compression with the same quantization matrix,” Signal Processing:Image Communication, vol. 76, pp. 89–96, 2019. doi: 10.1016/j.image.2019.04.016
|
[10] |
J. W. Wang, H. Wang, J. Li, et al., “Detecting double JPEG compressed color images with the same quantization matrix in spherical coordinates,” IEEE Transactions on Circuits and Systems for Video Technology, vol. vol,30, no. 8, pp. 2736–2749, 2020. doi: 10.1109/TCSVT.2019.2922309
|
[11] |
Y. K. Niu, X. L. Li, Y. Zhao, et al., “Detection of double JPEG compression with the same quantization matrix via convergence analysis,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 5, pp. 3279–3290, 2022. doi: 10.1109/TCSVT.2021.3097351
|
[12] |
H. Wang, J. W. Wang, X. Y. Luo, et al., “Detecting aligned double JPEG compressed color image with same quantization matrix based on the stability of image,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 6, pp. 4065–4080, 2022. doi: 10.1109/TCSVT.2021.3111195
|
[13] |
Q. Wang and R. Zhang, “Double JPEG compression forensics based on a convolutional neural network,” EURASIP Journal on Information Security, vol. 2016, no. 1, article no. 47, 2016. doi: 10.1186/s13635-016-0047-y
|
[14] |
M. Barni, L. Bondi, N. Bonettini, et al., “Aligned and non-aligned double JPEG detection using convolutional neural networks,” Journal of Visual Communication and Image Representation, vol. 49, pp. 153–163, 2017. doi: 10.1016/j.jvcir.2017.09.003
|
[15] |
B. Li, H. Luo, H. X. Zhang, et al., “A multi-branch convolutional neural network for detecting double JPEG compression,” arXiv preprint, arXiv: 1710.05477, 2017.
|
[16] |
P. Peng, T. F. Sun, X. H. Jiang, et al., “Detection of double JPEG compression with the same quantization matrix based on convolutional neural networks,” in Proceedings of 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Honolulu, HI, USA, pp.717–721, 2018.
|
[17] |
J. Park, D. Cho, W. Ahn, et al., “Double JPEG detection in mixed JPEG quality factors using deep convolutional neural network,” in Proceedings of the 15th European Conference on Computer Vision, Munich, Germany, pp.636–652, 2018.
|
[18] |
F. M. Liu, Y. H. Wu, and J. X. Yu, “Image compression process and principle of JPEG2000,” Journal of Computer-Aided Design & Computer Graphics, vol. 14, no. 10, pp. 905–911,916, 2002. (in Chinese) doi: 10.3321/j.issn:1003-9775.2002.10.002
|
[19] |
Y. T. Chen, R. L. Xia, K. Zou, et al., “FFTI: Image inpainting algorithm via features fusion and two-steps inpainting,” Journal of Visual Communication and Image Representation, vol. 91, article no. article no. 103776, 2023. doi: 10.1016/j.jvcir.2023.103776
|
[20] |
Y. T. Chen, R. L. Xia, K. Yang, et al., “MFFN: Image super-resolution via multi-level features fusion network,” The Visual Computer, in press.
|
[21] |
D. C. Li, “JPEG2000 image compression standard and applications of key algorithm,” Image Technology, vol. 22, no. 4, pp. 26–31, 2010. (in Chinese) doi: 10.3969/j.issn.1001-0270.2010.04.007
|
[22] |
H. H. Nguyen, T. N. D. Tieu, H. O. Nguyen-Son, et al., “Modular convolutional neural network for discriminating between computer-generated images and photographic images,” in Proceedings of the 13th International Conference on Availability, Reliability and Security, Hamburg, Germany, article no.1, 2018.
|
[23] |
Q. L. Yin, J. W. Wang, X. Y. Luo, et al., “Quaternion convolutional neural network for color image classification and forensics,” IEEE Access, vol. 7, pp. 20293–20301, 2019. doi: 10.1109/ACCESS.2019.2897000
|
[24] |
F. N. Lang, L. Y. Tian, and L. L. Liu, “Quaternion based color face recognition,” Journal of Chengdu University (Natural Science Edition), vol. 32, no. 4, pp. 359–367, 382, 2013. (in Chinese)
|
[25] |
G. Schaefer and M. Stich, “UCID: An uncompressed color image database,” in Proceedings of SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia, San Jose, CA, USA, pp.472–481, 2004.
|
[26] |
NRCS photo gallery. [Online]. Available: http://photogallery.nrcs.usda.gov, 2017-12-07.
|