A novel scheme for securing image steganography

Chin Chen Chang, Jyh Chiang Yeh, Ju-Yuan Hsiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we shall propose a more secure scheme with a larger embedding capacity for image steganography based on vector quantization and discrete cosine transform. Instead of encrypting the whole secret image, our method only encrypts the important features extracted from a secret image and then embeds the encrypted features into a cover image for producing a stego-image. During the work of data encryption and embedment, we introduce the data encryption standard cryptosystem and a pseudo random mechanism to ensure the security of the secret image. Besides, the distortion between the cover image and the stego-image is also imperceptible by the human eye, even when the size of the secret image is as large as that of the cover image. According to the substantial experimental results we shall give later, we can demonstrate the applicability of our method.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsShih-Fu Chang, Heung-Yeung Shum, Mark Liao
PublisherSpringer Verlag
Pages804-811
Number of pages8
ISBN (Print)3540426809, 9783540426806
Publication statusPublished - 2001 Jan 1
Event2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 - Beijing, China
Duration: 2001 Oct 242001 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2195
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001
CountryChina
CityBeijing
Period01-10-2401-10-26

Fingerprint

Steganography
Cryptography
Discrete cosine transforms
Vector quantization
Cover
Encryption
Discrete Cosine Transform
Vector Quantization
Cryptosystem

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chang, C. C., Yeh, J. C., & Hsiao, J-Y. (2001). A novel scheme for securing image steganography. In S-F. Chang, H-Y. Shum, & M. Liao (Eds.), Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings (pp. 804-811). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195). Springer Verlag.
Chang, Chin Chen ; Yeh, Jyh Chiang ; Hsiao, Ju-Yuan. / A novel scheme for securing image steganography. Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. editor / Shih-Fu Chang ; Heung-Yeung Shum ; Mark Liao. Springer Verlag, 2001. pp. 804-811 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Chang, CC, Yeh, JC & Hsiao, J-Y 2001, A novel scheme for securing image steganography. in S-F Chang, H-Y Shum & M Liao (eds), Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2195, Springer Verlag, pp. 804-811, 2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001, Beijing, China, 01-10-24.

A novel scheme for securing image steganography. / Chang, Chin Chen; Yeh, Jyh Chiang; Hsiao, Ju-Yuan.

Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. ed. / Shih-Fu Chang; Heung-Yeung Shum; Mark Liao. Springer Verlag, 2001. p. 804-811 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - In this paper, we shall propose a more secure scheme with a larger embedding capacity for image steganography based on vector quantization and discrete cosine transform. Instead of encrypting the whole secret image, our method only encrypts the important features extracted from a secret image and then embeds the encrypted features into a cover image for producing a stego-image. During the work of data encryption and embedment, we introduce the data encryption standard cryptosystem and a pseudo random mechanism to ensure the security of the secret image. Besides, the distortion between the cover image and the stego-image is also imperceptible by the human eye, even when the size of the secret image is as large as that of the cover image. According to the substantial experimental results we shall give later, we can demonstrate the applicability of our method.

AB - In this paper, we shall propose a more secure scheme with a larger embedding capacity for image steganography based on vector quantization and discrete cosine transform. Instead of encrypting the whole secret image, our method only encrypts the important features extracted from a secret image and then embeds the encrypted features into a cover image for producing a stego-image. During the work of data encryption and embedment, we introduce the data encryption standard cryptosystem and a pseudo random mechanism to ensure the security of the secret image. Besides, the distortion between the cover image and the stego-image is also imperceptible by the human eye, even when the size of the secret image is as large as that of the cover image. According to the substantial experimental results we shall give later, we can demonstrate the applicability of our method.

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Chang CC, Yeh JC, Hsiao J-Y. A novel scheme for securing image steganography. In Chang S-F, Shum H-Y, Liao M, editors, Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. Springer Verlag. 2001. p. 804-811. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).