research-article

Context embedding for raster-scan rhombus based reversible watermarking

Authors:

Dinu Coltuc,

Ioan-Catalin DragoiAuthors Info & Claims

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

Pages 215 - 220

https://doi.org/10.1145/2482513.2482535

Published: 17 June 2013 Publication History

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Abstract

The embedding not only into the current pixel, but also into the prediction context was recently proposed as an improvement of difference expansion reversible watermarking algorithms. So far it was shown that the effect of splitting the data between the current pixel and the prediction context decreases the embedding distortion, but increases the prediction error. This paper revisits the case of context embedding for the case of pixel prediction on the rhombus composed of the two vertical and the two horizontal neighbors. For this case it appears that the context embedding can be used not only to reduce the embedding distortion, but also to improve the prediction. The gain provided by the improvement of the prediction outperforms the one provided by the reduction of the embedding distortion. Experimental results are provided.

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Uyyala RReddy R(2024)Reversible Concealment Approach using Gradients and PEE for Gray-Scale Images2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)10.1109/ICAAIC60222.2024.10575217(1204-1209)Online publication date: 5-Jun-2024
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Published In

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

June 2013

242 pages

ISBN:9781450320818

DOI:10.1145/2482513

General Chair:
William Puech
LIRMM & University of Montpellier, France
,
Program Chairs:
Marc Chaumont
LIRMM & University of Nimes, France
,
Jana Dittmann
Otto-von-Guericke University, Germany
,
Patrizio Campisi
University of Roma TRE, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 June 2013

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IH&MMSec '13: ACM Information Hiding and Multimedia Security Workshop

June 17 - 19, 2013

Montpellier, France

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IH&MMSec '13 Paper Acceptance Rate 27 of 74 submissions, 36%;

Overall Acceptance Rate 128 of 318 submissions, 40%

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https://doi.org/10.1109/ICONSTEM60960.2024.10568904
Uyyala RReddy R(2024)Reversible Concealment Approach using Gradients and PEE for Gray-Scale Images2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)10.1109/ICAAIC60222.2024.10575217(1204-1209)Online publication date: 5-Jun-2024
https://doi.org/10.1109/ICAAIC60222.2024.10575217
Uyyala RSubramaniam M(2023)Gradient Adaptive Planar Prediction for High-Fidelity Images2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)10.1109/WiSPNET57748.2023.10134321(1-6)Online publication date: 29-Mar-2023
https://doi.org/10.1109/WiSPNET57748.2023.10134321
Uyyala R(2023)Accurate Gradient Selective Based Histogram Bin Shifting for Reversible Data Hiding2023 4th International Conference for Emerging Technology (INCET)10.1109/INCET57972.2023.10170100(1-6)Online publication date: 26-May-2023
https://doi.org/10.1109/INCET57972.2023.10170100
Uyyala RBojjagani S(2023)Prediction Based Reversible Data Hiding for Gray-Scale Images2023 Seventh International Conference on Image Information Processing (ICIIP)10.1109/ICIIP61524.2023.10537721(529-534)Online publication date: 22-Nov-2023
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Adaptive reversible watermarking with improved embedding capacity

Difference-expansion based reversible and visible image watermarking scheme

An extended difference expansion algorithm for reversible watermarking

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