A high payload VQ steganographic method for binary images

Chin Chen Chang; Chih Yang Lin; Yu Zheng Wang

doi:10.1007/978-3-540-92238-4_36

A high payload VQ steganographic method for binary images

Chin Chen Chang, Chih Yang Lin, Yu Zheng Wang

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose a new VQ steganographic method for embedding binary images and improving the stego-image quality. The main idea is using the new S-tree to represent the binary image and applying the genetic k-means clustering technique on the codebook to obtain strong cohesion clusters in order to reduce the replacement distortion. Experimental results show that our method outperforms the existing schemes on both image quality and embedding capacity.

Original language	English
Title of host publication	Digital Watermarking - 6th International Workshop, IWDW 2007, Proceedings
Pages	467-481
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-540-92238-4_36
State	Published - 2008
Event	6th International Workshop on Digital Watermarking, IWDW 2007 - Guangzhou, China Duration: 3 Dec 2007 → 5 Dec 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5041 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Workshop on Digital Watermarking, IWDW 2007
Country/Territory	China
City	Guangzhou
Period	3/12/07 → 5/12/07

Keywords

Clustering
Data hiding
Genetic algorithm
Steganography

Access to Document

10.1007/978-3-540-92238-4_36

Cite this

Chang, C. C., Lin, C. Y., & Wang, Y. Z. (2008). A high payload VQ steganographic method for binary images. In Digital Watermarking - 6th International Workshop, IWDW 2007, Proceedings (pp. 467-481). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5041 LNCS). https://doi.org/10.1007/978-3-540-92238-4_36

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title = "A high payload VQ steganographic method for binary images",

abstract = "In this paper, we propose a new VQ steganographic method for embedding binary images and improving the stego-image quality. The main idea is using the new S-tree to represent the binary image and applying the genetic k-means clustering technique on the codebook to obtain strong cohesion clusters in order to reduce the replacement distortion. Experimental results show that our method outperforms the existing schemes on both image quality and embedding capacity.",

keywords = "Clustering, Data hiding, Genetic algorithm, Steganography",

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Chang, CC, Lin, CY & Wang, YZ 2008, A high payload VQ steganographic method for binary images. in Digital Watermarking - 6th International Workshop, IWDW 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5041 LNCS, pp. 467-481, 6th International Workshop on Digital Watermarking, IWDW 2007, Guangzhou, China, 3/12/07. https://doi.org/10.1007/978-3-540-92238-4_36

A high payload VQ steganographic method for binary images. / Chang, Chin Chen; Lin, Chih Yang; Wang, Yu Zheng.
Digital Watermarking - 6th International Workshop, IWDW 2007, Proceedings. 2008. p. 467-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5041 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we propose a new VQ steganographic method for embedding binary images and improving the stego-image quality. The main idea is using the new S-tree to represent the binary image and applying the genetic k-means clustering technique on the codebook to obtain strong cohesion clusters in order to reduce the replacement distortion. Experimental results show that our method outperforms the existing schemes on both image quality and embedding capacity.

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A high payload VQ steganographic method for binary images

Abstract

Publication series

Conference

Keywords

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