Probability-based reversible image authentication scheme for image demosaicking

Future Generation Computer Systems

Volumn 62, Issue , 2016, Pages 92-103

  Hu, Yu Chen ^a   Lo, Chun Chi ^a   Chen, Wu Lin ^a  

^a PROVIDENCE UNIVERSITY   (Taiwan)

Author keywords

Bayer pattern; Color filter array; Image authentication; Image demosaicking; Reversibility; Tamper detection

Indexed keywords

AUTHENTICATION; COLOR; DIGITAL CAMERAS; VIDEO CAMERAS;

BAYER PATTERN; COLOR FILTER ARRAYS; DEMOSAICKING; IMAGE AUTHENTICATION; REVERSIBILITY; TAMPER DETECTION;

COLOR IMAGE PROCESSING;

EID: 84964228113     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2016.04.001     Document Type: Article

References (35)

1. [1] Color imaging array, B.E. Bayer. (1976, July). US Patent No. 3 971 065.
2. [2] Menon, D., Calvagno, G., Color image demosaicking: an overview. Signal Process. Image Commun. 26:7–8 (2011), 518–533.
3. [3] Kimmel, R., Demosaicing: image reconstruction from color CCD samples. IEEE Trans. Image Process. 8:9 (1999), 1221–1228.
4. [4] Pei, S.C., Tam, I.K., Effective color interpolation in CCD color filter arrays using signal correlation. IEEE Trans. Circuits Syst. Video Technol. 13:6 (2003), 503–513.
5. [5] Gunturk, B.K., Glotzbach, J., Altunbasak, Y., Schafer, R.W., Mersereau, R.M., Demosaicking: color filter array interpolation. IEEE Signal Process. Mag. 22:1 (2005), 44–54.
6. [6] Lukac, R., Plataniotis, K.N., Color filter arrays: design and performance analysis. IEEE Trans. Consumer Electron. 54:4 (2005), 1260–1267.
7. [7] Lukac, R., Plataniotis, K.N., Hatzinakos, D., Aleksic, M., A new CFA interpolation framework. Signal Process. 86:7 (2006), 1559–1579.
8. [8] Zhang, Y., Wang, G., Xu, J., Shi, Z., Dong, D., Novel color demosaicking for noisy color filter array data. Signal Process. 92:2 (2012), 455–464.
9. [9] Shao, L., Rehman, A.U., Image demosaicking using content and colour-correlation analysis. Signal Process. 103 (2014), 84–91.
10. [10] Zhang, L., Wu, X., Color demosaicking via directional linear mini- mum mean square-error estimation. IEEE Trans. Image Process. 14:12 (2005), 2167–2177.
11. [11] Zhang, Y., Wang, G., Xu, J., Shi, Z., Dong, D., Robust high-high frequency sub-band for demosaicking the inter-channel weak correlated CFA image. Signal Process. 93:1 (2013), 356–360.
12. [12] Lu, Y.M., Karzand, M., Vetterli, M., Demosaicking by alternating projections: theory and fast one-step implementation. IEEE Trans. Image Process. 19:8 (2010), 2085–2098.
13. [13] Ferrandas, S., Bertalmio, M., Caselles, V., Geometry-based demosaicking. IEEE Trans. Image Process. 19:3 (2009), 665–670.
14. [14] Bartolini, F., Tefas, A., Bami, M., Pitas, I., Image authentication techniques for surveillance applications. Proc. IEEE 89:10 (2001), 1403–1418.
15. [15] Lou, D.C., Liu, J.L., Fault resilient and compression tolerant digital signature for image authentication. IEEE Trans. Consumer Electron. 46:1 (2000), 31–39.
16. [16] Xie, L., Arce, G.R., Graveman, R.F., Approximate image message authentication codes. IEEE Trans. Multimedia 3:2 (2001), 242–252.
17. [17] Tsai, P.Y., Hu, Y.C., Chang, C.C., A novel image authentication scheme based on quadtree segmentation. Imaging Sci. J. 53:3 (2005), 149–162.
18. [18] Ababneh, S., Ansari, R., Khokhar, A., Iterative compensation schemes for multimedia content authentication. J. Vis. Commun. Image Represent. 20:5 (2009), 303–311.
19. [19] Ahmed, F., Siyal, M.Y., A secure and robust hash-based scheme for image authentication. Signal Process. 90:5 (2010), 1456–1470.
20. [20] Lin, C.Y., Chang, S.F., A robust image authentication method distinguish JPEG compression from malicious manipulation. IEEE Trans. Circuits Syst. Video Technol. 11:2 (2001), 153–168.
21. [21] Wong, P.W., Memon, N., Secret and public key image watermarking schemes for image authentication and ownership verification. IEEE Trans. Image Process. 10:10 (2001), 1593–1601.
22. [22] Lee, T.Y., Lin, S.D., Dual watermark for image tamper detection and recovery. Pattern Recognit. 41:11 (2008), 3497–3506.
23. [23] Qi, X., Xin, X., A quantization-based semi-fragile watermarking scheme for image content authentication. J. Vis. Commun. Image Represent. 22:2 (2011), 187–200.
24. [24] Zhang, X.P., Qian, Z.X., Ren, Y.L., Feng, G.R., Watermarking with flexible self-recovery quality based on compressive sensing and compositive reconstruction. IEEE Trans. Inf. Forensics Secur. 6:4 (2011), 1223–1232.
25. [25] Chuang, J.C., Hu, Y.C., Lo, C.C., Chen, W.L., Grayscale image tamper detection and recovery based on vector quantization. Int. J. Secur. Appl. 7:6 (2013), 209–228.
26. [26] Lo, C.C., Hu, Y.C., A novel reversible image authentication scheme for digital images. Signal Process. 98 (2014), 174–185.
27. [27] Chuang, J.C., Hu, Y.C., An adaptive image authentication scheme for vector quantization compressed image. J. Vis. Commun. Image Represent. 22:5 (2011), 440–449.
28. [28] Hu, Y.C., Chen, W.L., Lo, C.C., Wu, C.M., A novel tamper detection scheme for BTC compressed images. Opto-Electron. Rev. 21:1 (2013), 137–146.
29. [29] Hu, Y.C., Lo, C.C., Chen, W.L., Wen, C.H., Joint image coding and image authentication based on AMBTC. J. Electron. Imaging, 22(1), 2013 (art no: 013012).
30. [30] Wu, C.M., Hu, Y.C., Liu, K.Y., Chuang, J.C., A novel active image authentication scheme for block truncation coding. Int. J. Signal Process., Image Process. Pattern Recognit. 7:5 (2014), 13–26.
31. [31] Lo, C.C., Hu, Y.C., Chen, W.L., Chang, I.C., Probability-based image authentication scheme for indexed color images. J. Electron. Imaging, 23(3), 2014 (art no: 033003).
32. [32] Y.C. Hu, W.L. Chen, C.H. Hung, A novel image authentication technique for color image demosaicking, in: Proceedings of 2014 International Conference on Information Technology and Management Engineering, Hong Kong, April 26–27, 2014.
33. [33] Popescu, D.E., Lonea, A.M., An hybrid text-image based authentication for cloud services. Int. J. Comput. Commun. Control 8:2 (2013), 263–274.
34. [34] Ali, S.T., Sivaraman, V., Ostry, D., Authentication of lossy data in body-sensor networks for cloud-based healthcare monitoring. Future Gener. Comput. Syst. 35 (2014), 80–90.
35. [35] Yang, C.T., Shih, W.C., Chen, L.T., Kuo, C.T., Jiang, F.C., Leu, F.Y., Accessing medical image file with co-allocation HDFS in cloud. Future Gener. Comput. Syst. 43–44 (2015), 61–73.