Reversible data hiding

By Mehmet Utku Celik, Gaurav Sharma, A. Tekalp, Eli Saber. Proceedings. International Conference on Image Processing, 2002

2,011 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/b6e438917998e864e709632108f81ce9e9a160f0

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Citations in the corpus

Reversibility improved data hiding in encrypted images (2014, methodology): “Until now, many RDH techniques have been proposed based on three fundamental strategies: lossless compression-appending scheme [1,2], difference expansion (DE) [3,4] and histogram shift (HS) [5].”
Reversible data hiding (2003, methodology): “A very recent example is the technique reported in [20].”
DE-Based Reversible Data Hiding With Improved Overflow Location Map (2009, background): “[4] proposed a scheme of using peak/zero points in the histogram of spatial domain images.”
Multilevel reversible data hiding based on histogram modification of difference images (2008, methodology): “[17] used the zero point and peak point of an image histogram to hide message and achieved reversibility.”
Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection (2011, methodology): “After data embedding, the inner and outer regions become [02T ; 2T ) and (01; 02T) [ [2T ; 1), re- spectively. nique of histogram shifting [9]–[11], the technique of difference expansion (DE) [12], the technique of prediction-error expansion (PEE) [13]–[15], the technique of integer transform…”
Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, methodology): “For this reason, the simple graylevel histogram used in the original approach of [3] was replaced by Laplacian distributed histograms, with a prominent maximum bin, like the prediction error histogram and so on.”
Reversible image hiding scheme using predictive coding and histogram shifting (2009, methodology): “All rights reserved. doi:10.1016/j.sigpro.2008.12.017 domain approach, Celik et al. employed a generalized least significant bit (LSB) method and the context-based adaptive lossless image coding (CALIC) to achieve reversible data hiding [12].”
Reversible data hiding (2006, methodology): “A very recent example is the technique reported in [ 20 ].”
An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images (2018, methodology): “Methods are based on lossless compression appending, difference expansion [23], [24], histogram shifting [5], [15], [22] or a combination of these schemes [16], [21].”
Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding (2013, background): “, compression based algorithms [7]–[11], difference expansion (DE) based algorithms [12]–[16], histogram shifting (HS) based algorithms [17]–[19], prediction-error expansion (PEE) based algorithms [20]–[34] and integer-to-integer transform based algorithms [35]–[41], etc.”
Reversible data embedding using a difference expansion (2003, background): “We compare the results with [1], [8], and [9], namely the RS lossless date-embedding method in [1] and the lossless G-LSB date-embedding method in [8] and [9].”
Reversible Data Hiding Based on Histogram Modification of Pixel Differences (2009, background): “in [18], in which the message is embedded into the histogram bin.”
Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption (2013, background): “Another promising strategy for RDH is histogram shift (HS) [6], in which space is saved for data embedding by shifting the bins of histogram of gray values.”
A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (2013, methodology): “These methods may control the maximum modification to each pixel value and thus the marked image quality can be well guaranteed.”
General Framework to Histogram-Shifting-Based Reversible Data Hiding (2013, methodology): “Besides aforementioned works [11]–[13], [22], many HS-based RDH algorithms have also been proposed so far [23]–[31].”