Reversible image watermarking by rhombus prediction and histogram modification

Hao Tian Wu; Jiwu Huang; Ye Zhang; Jia You

doi:10.1109/ICALIP.2012.6376605

Reversible image watermarking by rhombus prediction and histogram modification

Hao Tian Wu, Jiwu Huang, Ye Zhang, Jia You

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

6 Citations (Scopus)

Abstract

A histogram based reversible data hiding algorithm is proposed for digital images with the rhombus prediction scheme. With the prediction errors generated in each of the two phases, data embedding is performed by modifying their histogram while the overflow and underflow of pixel values are prevented in pre-process. Blind data extraction and exact recovery of the original image are both enabled by saving the overhead information into the watermarked image. Furthermore, high-capacity embedding can be performed by using multiple pairs of histogram bins to host the embedded data. The numerical results show that good performance can be achieved with the proposed algorithm, especially when the embedding rate is high.

Original language	English
Title of host publication	ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings
Pages	165-169
Number of pages	5
DOIs	https://doi.org/10.1109/ICALIP.2012.6376605
Publication status	Published - 1 Dec 2012
Event	2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012 - Shanghai, China Duration: 16 Jul 2012 → 18 Jul 2012

Conference

Conference	2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012
Country/Territory	China
City	Shanghai
Period	16/07/12 → 18/07/12

ASJC Scopus subject areas

Language and Linguistics
Computer Vision and Pattern Recognition

More information

10.1109/ICALIP.2012.6376605

Cite this

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title = "Reversible image watermarking by rhombus prediction and histogram modification",

abstract = "A histogram based reversible data hiding algorithm is proposed for digital images with the rhombus prediction scheme. With the prediction errors generated in each of the two phases, data embedding is performed by modifying their histogram while the overflow and underflow of pixel values are prevented in pre-process. Blind data extraction and exact recovery of the original image are both enabled by saving the overhead information into the watermarked image. Furthermore, high-capacity embedding can be performed by using multiple pairs of histogram bins to host the embedded data. The numerical results show that good performance can be achieved with the proposed algorithm, especially when the embedding rate is high.",

author = "Wu, {Hao Tian} and Jiwu Huang and Ye Zhang and Jia You",

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Wu, HT, Huang, J, Zhang, Y & You, J 2012, Reversible image watermarking by rhombus prediction and histogram modification. in ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings., 6376605, pp. 165-169, 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, Shanghai, China, 16/07/12. https://doi.org/10.1109/ICALIP.2012.6376605

Reversible image watermarking by rhombus prediction and histogram modification. / Wu, Hao Tian; Huang, Jiwu; Zhang, Ye et al.
ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings. 2012. p. 165-169 6376605.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Zhang, Ye

AU - You, Jia

PY - 2012/12/1

Y1 - 2012/12/1

N2 - A histogram based reversible data hiding algorithm is proposed for digital images with the rhombus prediction scheme. With the prediction errors generated in each of the two phases, data embedding is performed by modifying their histogram while the overflow and underflow of pixel values are prevented in pre-process. Blind data extraction and exact recovery of the original image are both enabled by saving the overhead information into the watermarked image. Furthermore, high-capacity embedding can be performed by using multiple pairs of histogram bins to host the embedded data. The numerical results show that good performance can be achieved with the proposed algorithm, especially when the embedding rate is high.

AB - A histogram based reversible data hiding algorithm is proposed for digital images with the rhombus prediction scheme. With the prediction errors generated in each of the two phases, data embedding is performed by modifying their histogram while the overflow and underflow of pixel values are prevented in pre-process. Blind data extraction and exact recovery of the original image are both enabled by saving the overhead information into the watermarked image. Furthermore, high-capacity embedding can be performed by using multiple pairs of histogram bins to host the embedded data. The numerical results show that good performance can be achieved with the proposed algorithm, especially when the embedding rate is high.

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M3 - Conference article published in proceeding or book

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Reversible image watermarking by rhombus prediction and histogram modification

Abstract

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ASJC Scopus subject areas

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