Proceedings ArticleDOI
Reversible data hiding
Mehmet Utku Celik,Gaurav Sharma,A.M. Tekalp,Eli Saber +3 more
- Vol. 2, pp 157-160
TLDR
A prediction-based conditional entropy coder which utilizes static portions of the host as side-information improves the compression efficiency, and thus the lossless data embedding capacity.Abstract:
We present a novel reversible (lossless) data hiding (embedding) technique, which enables the exact recovery of the original host signal upon extraction of the embedded information. A generalization of the well-known LSB (least significant bit) modification is proposed as the data embedding method, which introduces additional operating points on the capacity-distortion curve. Lossless recovery of the original is achieved by compressing portions of the signal that are susceptible to embedding distortion, and transmitting these compressed descriptions as a part of the embedded payload. A prediction-based conditional entropy coder which utilizes static portions of the host as side-information improves the compression efficiency, and thus the lossless data embedding capacity.read more
Citations
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Book
Digital Watermarking
TL;DR: Digital Watermarking covers the crucial research findings in the field and explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied.
Journal ArticleDOI
Reversible data embedding using a difference expansion
TL;DR: The redundancy in digital images is explored to achieve very high embedding capacity, and keep the distortion low, in a novel reversible data-embedding method for digital images.
Journal ArticleDOI
Reversible data hiding
TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
Journal ArticleDOI
Expansion Embedding Techniques for Reversible Watermarking
D.M. Thodi,Jeffrey J. Rodriguez +1 more
TL;DR: The experimental results for many standard test images show that prediction-error expansion doubles the maximum embedding capacity when compared to difference expansion, and there is a significant improvement in the quality of the watermarked image, especially at moderate embedding capacities.
Journal ArticleDOI
Reversible watermark using the difference expansion of a generalized integer transform
TL;DR: Results indicate that the spatial, quad-based algorithm developed for color images allows for hiding the largest payload at the highest signal-to-noise ratio.
References
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TL;DR: This paper introduces a new paradigm for data embedding in images (lossless dataembedding) that has the property that the distortion due to embedding can be completely removed from the watermarked image after the embedded data has been extracted.
Patent
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Lossless compression of continuous-tone images via context selection, quantization, and modeling
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Proceedings ArticleDOI
Wavelet-based reversible watermarking for authentication
TL;DR: A reversible watermarking method based on an integer wavelet transform that enables the recovery of the original, unwatermarked content after the watermarked content has been detected to be authentic.