Proceedings ArticleDOI
Reversible watermark using difference expansion of triplets
A.M. Alattar
- Vol. 1, pp 501-504
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TLDR
A new reversible watermarking algorithm based on the difference expansion of colored images has been developed that uses spatial and spectral triplets of pixels to hide pairs of bits, which allows the algorithm to hide a large amount of data.Abstract:
A new reversible watermarking algorithm based on the difference expansion of colored images has been developed. Since the watermark is completely reversible, the original image can be recovered exactly. The algorithm uses spatial and spectral triplets of pixels to hide pairs of bits, which allows the algorithm to hide a large amount of data. A spatial triplet is any three pixel values selected from the same spectral component, while a spectral triplet is any three pixel values selected from different spectral components. The algorithm is recursively applied to the rows and columns of the spectral components of the image and across all spectral components to maximize the hiding capacity. Simulation results show that the hiding capacity of the algorithm is very high and the resulting distortion is low.read more
Citations
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Journal ArticleDOI
Reversible Watermarking Algorithm Using Sorting and Prediction
TL;DR: This paper presents a reversible or lossless watermarking algorithm for images without using a location map in most cases that employs prediction errors to embed data into an image.
Book ChapterDOI
Reversible data hiding
TL;DR: A theoretical proof and numerous experiments show that the PSNR of the marked image generated by this method is always above 48 dB, which is much higher than other reversible data hiding algorithms.
Journal ArticleDOI
Reversible data embedding into images using wavelet techniques and sorting
L. Kamstra,H.J.A.M. Heijmans +1 more
TL;DR: This paper investigates high-capacity lossless data-embedding methods that allow one to embed large amounts of data into digital images in such a way that the original image can be reconstructed from the watermarked image.
Journal ArticleDOI
Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform
TL;DR: The experimental results show that the proposed scheme achieves higher embedding capacity while maintaining distortion at a lower level than the existing reversible watermarking schemes.
Journal ArticleDOI
A Novel Difference Expansion Transform for Reversible Data Embedding
TL;DR: Performance of the proposed scheme is shown to be better than the original difference expansion scheme by Tian and its improved version by Kamstra and Heijmans and can be possible by exploiting the quasi-Laplace distribution of the difference values.
References
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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.
Proceedings ArticleDOI
Reversible data hiding
TL;DR: 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.
Patent
Method and apparatus for embedding authentication information within digital data
TL;DR: Arbitrary digital information is embedded within a stream of digital data, in a way that avoids detection by a casual observer and that allows a user to determine whether the digital data have been modified from their intended form.
Journal ArticleDOI
Lossless data embedding--new paradigm in digital watermarking
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
Lossless recovery of an original image containing embedded data
TL;DR: In this paper, a method and system embeds digital meta-data into an original image in such a way that the meta data can be completely removed at a later time to allow loss less recovery of the original image.