Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics

Multimedia Tools and Applications - Tập 76 Số 22 - Trang 23721-23737 - 2017
Jinwei Wang1, Ting Li1, Yun Q. Shi2, Shiguo Lian3, Jingyu Ye2
1Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China
2New Jersey Institute of Technology, Newark, NJ, USA
3Central Research Institute, Huawei Technologies, Beijing, 100085, People's Republic of China

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Tài liệu tham khảo

Buccigrossi R, Simoncelli E (1999) Image compression via joint statistical characterization in the wavelet domain. IEEE Trans Image Process 8(12):1688–701

Bülow T (1999) Hypercomplex spectral signal representations for the processing and analysis of images. Ph.D. dissertation, Christian Albrechts University, Kiel, Germany

Chen W, Shi Y, Xuan G (2007) Identifying computer graphics using HSV color model and statistical moments of characteristic functions. In: Proceedings of ICME, pp 1123–1126

Delp E, Memon N, Wu M (2009) Digital forensics. IEEE Signal Processing 26(2):14–15

Fan S, Wang R, Zhang Y, Guo K (2012) Classifying computer generated graphics and natural images based on image contour. Int J Inf Comput Sci 9(10):2877–2895

Farid H, Lyu S (2003) Higher-order wavelet statistics and their application to digital forensics. In: IEEE workshop on statistical analysis in computer vision, Madison Wisconsin, pp 1–8

Friedman J, Hastie T (2000) Additive logistic regression: a statistical view of boosting. Ann Stat 28(2):337–407

Li C, Li J, Fu B (2013) Magnitude-phase of quaternion wavelet transform for texture representation using multilevel copula. IEEE Signal Process Lett 20(8):799–802

Li J, Li X, Yang B, Sun X (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10(3):507–518

Li Z, Ye J, Shi Y (2012) Distinguishing computer graphics from photographic images using local binary patterns. In: The 11th IWDW, international workshop on digital-forensics and watermarking

Liao X, Shu C (2015) Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels. J Vis Commun Image Represent 28(4):21–27

Liu Y, Jin J, Wang Q, Shen Y (2013) Phases measure of image sharpness based on quaternion wavelet. Pattern Recogn Lett 34:1063–1070

Lyu S, Farid H (2005) How realistic is photorealistic? IEEE Trans Signal Process 53(2):845–850

Ng T, Chang S, Hsu J, Xie L, Tsui M (2005) Physics- motivated features for distinguishing photographic images and computer graphics. In: Proceedings of ACM multi-media, pp 239–248

Özparlak L, Avcıbaş I (2011) Differentiating between images using wavelet-based transforms: a comparative study. IEEE Trans Inf Forensics Secur 6(4):1418–1431

Pang H, Zhu M, Guo L (2012) Multifocus color image fusion using quaternion wavelet transform. In: The 5th international congress on image and signal processing, pp 543–546

Selesnick I, Baraniuk R, Kingsbury N (2005) The dual-tree complex wavelet transform. IEEE Signal Process 22(6):123–151

Soulard R, Carré P (2010) Quaternionic wavelets for image coding. In: 18th European signal processing conference (EUSIPCO-2010), Aalborg, Denmark

Soulard R, Carré P (2011) Quaternionic wavelets for texture classification. Pattern Recogn Lett 32(13):1669–1678

Zhang X (2011) Reversible data hiding in encrypted image. IEEE Signal Process Lett 18(4):255–258