The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Reversible data hiding
Abstract
A novel reversible data hiding algorithm, which can recover the original image without any distortion from the marked image after the hidden data have been extracted, is presented in this paper. This algorithm utilizes the zero or the minimum points of the histogram of an image and slightly modifies the pixel grayscale values to embed data into the image. It can embed more data than many of the existing reversible data hiding algorithms. It is proved analytically and shown experimentally that the peak signal-to-noise ratio (PSNR) of the marked image generated by this method versus the original image is guaranteed to be above 48 dB. This lower bound of PSNR is much higher than that of all reversible data hiding techniques reported in the literature. The computational complexity of our proposed technique is low and the execution time is short. The algorithm has been successfully applied to a wide range of images, including commonly used images, medical images, texture images, aerial images and all of the 1096 images in CorelDraw database. Experimental results and performance comparison with other reversible data hiding schemes are presented to demonstrate the validity of the proposed algorithm.
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Cites
Secure spread spectrum watermarking for multimedia
Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650120 · Cited by 5,299
Cited by
Reversible data hiding: Advances in the past two decades
Shi, Y.-Q., Li, X., Zhang, X., Wu, H.-T., & Ma, B. (2016) · IEEE Access · doi:10.1109/access.2016.2573308 · Cited by 594
Self-citationComprehensive survey of image steganography: Techniques, Evaluations, and trends in future research
Kadhim, I. J., Premaratne, P., Vial, P. J., & Halloran, B. (2019) · Neurocomputing · doi:10.1016/j.neucom.2018.06.075 · Cited by 452
Puteaux, P., & Puech, W. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2799381 · Cited by 396
Protection of image ROI using chaos-based encryption and DCNN-based object detection
Song, W., Fu, C., Zheng, Y., Cao, L., Tie, M., & Sham, C.-W. (2022) · Neural Computing and Applications · doi:10.1007/s00521-021-06725-w · Cited by 64
Khelifi, F. (2018) · Signal Processing · doi:10.1016/j.sigpro.2017.09.020 · Cited by 63
Metadata
- Authors
- Ni, Z., Shi, Y.-Q., Ansari, N., & Su, W.
- Venue
- IEEE Transactions on Circuits and Systems for Video Technology
- Published
- 2006-03
- Volume
- 16
- Issue
- 3
- Pages
- 354-362
- ISSN
- 1051-8215 (ISSN-L)
- OpenAlex
- W2121393355
- Cited by
- 2,636
- References
- 1
- FWCI
- 65.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ni, Z., Shi, Y.-Q., Ansari, N., & Su, W. (2006). Reversible data hiding. IEEE Transactions on Circuits and Systems for Video Technology. https://doi.org/10.1109/tcsvt.2006.869964
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
