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Reversible self-verifying and self-recovering technique for color image demosaicking

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Abstract

This paper develops an integrity protection technique based on image demosaicking. To provide the reversible property, the rebuilt components in color pixels are used for secret data embedding. The random value and the hashed result of the most significant high-order bits of the color components are employed to generate the authentication code for each rebuilt component. In addition, the optimal single bit map block truncation coding (OSBMBTC) technique is adopted for generating recovery codes. A block-based image recovery procedure is designed to reconstruct the modified areas. Experimental results reveal that the illegally tampered objects in the test images can be found in these tests even when 87.5% pixels are modified. From the results, the image quality of the recovery image is acceptable when 50% of pixels are modified. Moreover, the demosaicked image can be reversibly constructed when the embedded image is not tampered.

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References

  1. Barani MJ, Valanda MY, Ayubi P (2019) A new digital image tamper detection algorithm based on integer wavelet transform and secured by encrypted authentication sequence with 3D quantum map. Optik 187:205–222

    Article  Google Scholar 

  2. Chan CS (2011) An image authentication method by applying hamming code on rearranged bits. Pattern Recogn Lett 32(14):1679–1690

    Article  Google Scholar 

  3. Chuang JC, Hu YC (2011) An adaptive image authentication scheme for vector quantization compressed image. J Vis Commun Image Represent 22(5):440–449

    Article  Google Scholar 

  4. Chuang JC, Hu YC, Lo CC, Chen WL (2013) Grayscale image tamper detection and recovery based on vector quantization. Int J Secur Appl 7(6):209–228

    Google Scholar 

  5. Chuang JC, Hu YC, Chen CM, Yin Z (2020) Adaptive grayscale image coding scheme based on dynamic multi-grouping absolute moment block truncation coding. Multimed Tools Appl 79(37):28189–28205

    Article  Google Scholar 

  6. Color imaging array, B.E. Bayer. (1976, July). U.S. Patent No. 3 971 065.

  7. Hong W, Chen M, Chen TS (2017) An efficient reversible image authentication method using improved PVO and LSB substitution techniques. Signal Process Image Commun 58:111–112

    Article  Google Scholar 

  8. Hong W, Chen M, Chen TS, Huang CC (2018) An efficient authentication method for AMBTC compressed images using adaptive pixel pair matching. Multimed Tools Appl 77:4677–4695

    Article  Google Scholar 

  9. Hong W, Zhou X, Lou DC (2019) A recoverable AMBTC authentication scheme using similarity embedding strategy, PLoS ONE 14(2) article no.: e0212802.

  10. Hong W, Zhou X, Chen TS, Hsieh CH (2020) An efficient reversible authentication scheme for demosaiced images with improved detectability, Signal Processing: Image Communication 80 article no.: 115666.

  11. Hu YC (2004) Predictive moment preserving block truncation coding for gray-level image compression. J Electron Imaging 13(10):871–877

    Article  Google Scholar 

  12. Hu YC, Su BH, Tsai PY (2008) Coluor image coding scheme using absolute moment block truncation coding and block prediction technique. Imaging Sci J 56(5):254–270

    Article  Google Scholar 

  13. Hu YC, Chen WL, Lo CC, Wu CM (2013) A novel tamper detection scheme for BTC compressed images. Opto-Electron Rev 21(1):137–146

    Article  Google Scholar 

  14. Hu YC, Lo CC, Chen WL, Wen CH (2013) Joint image coding and image authentication based on AMBTC, Journal of Electronic Imaging 22 (1). (art no: 013012).

  15. Hu YC, Chen WL, Hung CH (2014) A novel image authentication technique for color image demosaicking, in: proceedings of 2014 international conference on information technology and management engineering, Hong Kong

  16. Hu YC, Chang IC, Liu KY, Hung CL (2014) Improved color image coding schemes based on single bit map block truncation coding, Optical Engineering 53 (9) article no.: 093104.

  17. Hu YC, Chen WL, Lo CC (2016) Probability-based reversible image authentication scheme for image demosaicking. Futur Gener Comput Syst 62(c):92–103

    Article  Google Scholar 

  18. Hu YC, Wu PJ, Chen CM, Liu YH (2018) A novel tamper detection and image recovery technique for color image demosaicking, in: proceedings of the fourteenth international conference on intelligent information hiding and multimedia signal processing (IIH-MSP 2018), Sendai, Japan

  19. Hua KL, Hidayati SC, He FL, Wei CP, Wang YCF (2016) Context-aware joint dictionary learning for color image demosaicking. J Vis Commun Image Represent 38:230–245

    Article  Google Scholar 

  20. Lema MD, Mitchell OR (1984) Absolute moment block truncation coding and its application to color image. IEEE Trans Commun 32(10):1148–1157

    Article  Google Scholar 

  21. Liu XL, Lin CC, Lin CH, Lin LJ, Qiu BJ (2017) Reversible authentication scheme for demosaicked images without false detection. Adv Intell Inf Hiding Multimed Signal Process 63:313–320

    Article  Google Scholar 

  22. Lo CC, Hu YC (2014) A novel reversible image authentication scheme for digital images. Signal Process 98:174–185

    Article  Google Scholar 

  23. Lo CC, Hu YC, Chen WL, Chang IC (2014) Probability-based image authentication scheme for indexed color images, Journal of Electronic Imaging 23 (3) article no.: 033003.

  24. Menon D, Calvagno G (2011) Color image demosaicking: an overview. Signal Process Image Commun 26(8–9):518–533

    Article  Google Scholar 

  25. Nguyen TS, Chang CC, Yang XQ (2016) A reversible image authentication scheme based on fragile watermarking in discrete wavelet transform domain. AEU – Int J Electron Commun 70(8):1055–1061

    Article  Google Scholar 

  26. Pei SC, Tam IK (2003) Effective color interpolation in CCD color filter arrays using signal correlation. IEEE Trans Circuits Syst Vid Technol 13(6):503–513

    Article  Google Scholar 

  27. Pravsad S, Pal AK (2020) A tamper detection suitable fragile watermarking scheme based on novel payload embedding strategy. Multimed Tools Appl 79:1673–1705

    Article  Google Scholar 

  28. Preda RO (2013) Semi-fragile watermarking for image authentication with sensitive tamper localization in the wavelet domain. Measurement 46(1):367–373

    Article  Google Scholar 

  29. Sarkar D, Palit S, Som S, Dey KN (2020) Large scale image tamper detection and recovery. Multimed Tools Appl 79:17761–17791

    Article  Google Scholar 

  30. Tiwari A, Sharma M, Tamrakar RK (2017) Watermarking based image authentication and tamper detection algorithm using vector quantization approach. AEU – Int J Electron Commun 78:114–123

    Article  Google Scholar 

  31. Tsou CC, Hu YC, Chang CC (2008) Efficient optimal pixel grouping schemes for AMBTC. Imaging Sci J 56(4):217–231

    Article  Google Scholar 

  32. Wu WC, Lin ZW (2016) SVD-based self-embedding image authentication scheme using quick response code features. J Vis Commun Image Represent 38:18–28

    Article  Google Scholar 

  33. Wu CM, Hu YC, Liu KY, Chuang JC (2014) A novel active image authentication scheme for block truncation coding. Int J Signal Process Image Process Patt Recognit 7(5):13–26

    Google Scholar 

  34. Xiang Z, Hu YC, Yao H, Qin C (2019) Adaptive and dynamic multi-grouping scheme for absolute moment block truncation coding. Multimed Tools Appl 78(7):7895–7909

    Article  Google Scholar 

  35. Yao H, Wei H, Qin C, Tang Z (2020) A real-time reversible image authentication method using uniform embedding strategy. J Real-Time Image Proc 17(1):41–54

    Article  Google Scholar 

Download references

Acknowledgments

This research was partially supported by the Ministry of Science and Technology, Taiwan, R.O.C. under contracts 106-2410-H-126-006-MY2 and 108-2410-H-020-MY2.

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Correspondence to Yu-Chen Hu.

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Lin, YH., Hu, YC., Chen, WL. et al. Reversible self-verifying and self-recovering technique for color image demosaicking. Multimed Tools Appl 80, 24949–24968 (2021). https://doi.org/10.1007/s11042-021-10914-z

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  • DOI: https://doi.org/10.1007/s11042-021-10914-z

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