HPS: Histogram preserving steganography in spatial domain

Yinan Wang; Weirong Chen; Yue Li; Wei Wang; Chang Tsun Li

doi:10.1109/IWBF.2014.6914260

HPS: Histogram preserving steganography in spatial domain

Yinan Wang, Weirong Chen, Yue Li, Wei Wang, Chang Tsun Li

Nankai University

Research output: Book chapter/Published conference paper › Conference paper › peer-review

1 Citation (Scopus)

Abstract

Minimization of perceptual and statistical distortions is one of the main challenges facing steganographic schemes. The most common approach to minimizing perceptual distortion is Least Significant Bit embedding. However, the statistical features (e.g., histogram) of the stego-images may be changed significantly even with selection of the regions of interest in the embedding process. This opens security gaps for steganal-ysis. To address this issue in this paper, we propose a novel steganographic algorithm, which is capable of preserving the histogram of the cover images in the stego-images and minimizing visual distortions. We partition the gray intensity scale into small segments and only allow the embedding process to modulate the gray intensity within the same segment. Randomization is employed to ensure the preservation of the histogram of cover images.

Original language	English
Title of host publication	Proceedings of the 2nd International Workshop on Biometrics and Forensics
Subtitle of host publication	IWBF 2014
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781479943708
DOIs	https://doi.org/10.1109/IWBF.2014.6914260
Publication status	Published - 30 Sept 2014
Event	IWBF 2014: 2nd International Workshop on Biometrics and Forensics - University of Malta, Valletta, Malta Duration: 27 Mar 2014 → 28 Mar 2014 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=32633&copyownerid=17325

Conference

Conference	IWBF 2014
Country/Territory	Malta
City	Valletta
Period	27/03/14 → 28/03/14
Other	The International Workshop on Biometrics and Forensics (IWBF) is organized by COST Action IC1106 – "Integrating Biometrics and Forensics for the Digital Age" and by IAPR TC4, the technical committee on Biometrics. It is an international forum devoted specifically to the development of synergies between the biometrics and forensic science research areas. IWBF provides the meeting place for those concerned with the usage of biometric recognition systems in forensic science applications, attracting participants from industry, research, academia and users.
Internet address	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=32633&copyownerid=17325

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10.1109/IWBF.2014.6914260

Cite this

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title = "HPS: Histogram preserving steganography in spatial domain",

abstract = "Minimization of perceptual and statistical distortions is one of the main challenges facing steganographic schemes. The most common approach to minimizing perceptual distortion is Least Significant Bit embedding. However, the statistical features (e.g., histogram) of the stego-images may be changed significantly even with selection of the regions of interest in the embedding process. This opens security gaps for steganal-ysis. To address this issue in this paper, we propose a novel steganographic algorithm, which is capable of preserving the histogram of the cover images in the stego-images and minimizing visual distortions. We partition the gray intensity scale into small segments and only allow the embedding process to modulate the gray intensity within the same segment. Randomization is employed to ensure the preservation of the histogram of cover images.",

keywords = "Histogram Preserving, Random Number, Segment, Steganography",

author = "Yinan Wang and Weirong Chen and Yue Li and Wei Wang and Li, {Chang Tsun}",

year = "2014",

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doi = "10.1109/IWBF.2014.6914260",

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note = "IWBF 2014 : 2nd International Workshop on Biometrics and Forensics ; Conference date: 27-03-2014 Through 28-03-2014",

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T2 - IWBF 2014

AU - Wang, Yinan

AU - Chen, Weirong

AU - Li, Yue

AU - Wang, Wei

AU - Li, Chang Tsun

PY - 2014/9/30

Y1 - 2014/9/30

N2 - Minimization of perceptual and statistical distortions is one of the main challenges facing steganographic schemes. The most common approach to minimizing perceptual distortion is Least Significant Bit embedding. However, the statistical features (e.g., histogram) of the stego-images may be changed significantly even with selection of the regions of interest in the embedding process. This opens security gaps for steganal-ysis. To address this issue in this paper, we propose a novel steganographic algorithm, which is capable of preserving the histogram of the cover images in the stego-images and minimizing visual distortions. We partition the gray intensity scale into small segments and only allow the embedding process to modulate the gray intensity within the same segment. Randomization is employed to ensure the preservation of the histogram of cover images.

AB - Minimization of perceptual and statistical distortions is one of the main challenges facing steganographic schemes. The most common approach to minimizing perceptual distortion is Least Significant Bit embedding. However, the statistical features (e.g., histogram) of the stego-images may be changed significantly even with selection of the regions of interest in the embedding process. This opens security gaps for steganal-ysis. To address this issue in this paper, we propose a novel steganographic algorithm, which is capable of preserving the histogram of the cover images in the stego-images and minimizing visual distortions. We partition the gray intensity scale into small segments and only allow the embedding process to modulate the gray intensity within the same segment. Randomization is employed to ensure the preservation of the histogram of cover images.

KW - Histogram Preserving

KW - Random Number

KW - Segment

KW - Steganography

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PB - IEEE, Institute of Electrical and Electronics Engineers

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Y2 - 27 March 2014 through 28 March 2014

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HPS: Histogram preserving steganography in spatial domain

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