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Reversible watermarking algorithm based on prediction error expansion for color image
2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2017A reversible watermarking algorithm in low distortion is proposed for color images in this paper. Through analyzing the correlation of different color components in color image, and expanding prediction pixels by adaptive prediction operator, the embedding of watermark data and the retrieving of the original image are realized.
Yan Qi, Liping Liu
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Reversible watermarking of 3D mesh models using prediction-error expansion
2010 3rd International Congress on Image and Signal Processing, 2010A reversible watermarking scheme for 3D meshes based on prediction-error expansion is proposed in this paper. In our algorithm, we embed the watermark by slightly changing the positions of some vertices in the mesh model. For a vertex to be altered for embedding, the centroid of its adjacent vertices is calculated as datum position which is kept ...
Anping Zhu +3 more
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Reversible Watermarking Based on Prediction-Error Expansion for 2D Vector Maps
2013In order to increase the embedding capacity when one hides information in 2D vector maps in a reversible way, researchers present a novel algorithm based on prediction-error expansion. In two neighboring coordinate values, researchers use the latter as the predicted value of the former. The difference between the original value and the predicted one is
Mingqin Geng +3 more
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An Efficient Reversible Data Hiding Based on Prediction Error Expansion
2023Manisha Duevedi +2 more
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Selective Weighting and Prediction Error Expansion for High-Fidelity Images
SN Computer ScienceRavi Uyyala +4 more
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Reversible Video Watermarking Based on Inter-prediction Error Expansion
Journal of Computer-Aided Design & Computer Graphics, 2010Xiao Zeng +3 more
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Analysis of Block-Level Prediction-Error Expansion Approach in Data Encryption
2023Jangam Deepthi, T. Venu Gopal
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Hybrid local prediction error-based difference expansion reversible watermarking for medical images
Computers and Electrical Engineering, 2016Natarajan V
exaly
Error prediction in approximate multiplier using regression and feature expansion method
IntegrationAnuraj V. +2 more
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