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Reversible data hiding exploiting spatial correlation between sub-sampled images

delete2009-11-01
delete159
PRE
AI
K
Kyungsu Kim *
M
Min-Jeong Lee
H
Hae-Yeoun Lee
H
Heung-Kyu Lee
DOI:10.1016/j.patcog.2009.04.004delete
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Abstract

Abstract

En 中文
Reversible data hiding enables host media to be restored from marked media without any loss of host information. Since this reversibility helps to make right decision during image analysis, it is highly desired in quality-sensitive imagery where even the minimal distortion introduced by embedding data is unacceptable. In this paper, we propose a reversible data hiding method that modifies the difference histogram between sub-sampled images. It exploits the high spatial correlation inherent in neighboring pixels to achieve high capacity and imperceptible embedding. On various test images including 16-bit images, we demonstrate the validity of our proposed method by comparing to other existing reversible data hiding algorithms. Experimental results support that our method provides high embedding capacity while keeping the distortions at a low level. (C) 2009 Elsevier Ltd. All rights reserved.
Keywords:
Content authentication
Data hiding
Histogram modification
Reversible data hiding
Sub-sampling
Watermarking
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

K
kumoh national university technology
Scholars:
1.6K
Papers: 1.7K
Citations: 3
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