Redesigning data hiding: interpolation-based scrambling-embedding method

Simying Ong; Koksheik Wong; Kiyoshi Tanaka

doi:10.1109/APSIPA.2017.8282029

Redesigning data hiding: interpolation-based scrambling-embedding method

Simying Ong
, Koksheik Wong
, Kiyoshi Tanaka

Malaysia Sch of Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

Abstract

In this paper, we explored the existing data hiding method and re-designed the method into a scrambling- embedding method to unify both scrambling and data embedding. Interpolated-based technique is revised and it is utilized to realize this unification. Experimental results indicate that the proposed method achieve scrambling while able to embed maximum up to ∼668,498.8 bits for interpolating 256×256 pixels image into 512×512 pixels image. Besides, parameter W is introduced to enable scalability in output image quality degradation. Finally, the proposed method is compared to the relevant methods for performance evaluation purposes.

Original language	English
Title of host publication	Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Editors	Chang-Su Kim, Wai Lam Hoo
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	209-213
Number of pages	5
ISBN (Electronic)	9781538615423, 9781538615430
ISBN (Print)	9781538615430
DOIs	https://doi.org/10.1109/APSIPA.2017.8282029
Publication status	Published - 2017
Event	Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017 - Kuala Lumpur, Malaysia Duration: 12 Dec 2017 → 15 Dec 2017 Conference number: 9th https://ieeexplore.ieee.org/xpl/conhome/8270695/proceeding (Proceedings)

Conference

Conference	Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017
Abbreviated title	APSIPA ASC 2017
Country/Territory	Malaysia
City	Kuala Lumpur
Period	12/12/17 → 15/12/17
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8270695/proceeding (Proceedings)

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10.1109/APSIPA.2017.8282029

Cite this

Ong, S., Wong, K., & Tanaka, K. (2017). Redesigning data hiding: interpolation-based scrambling-embedding method. In C.-S. Kim, & W. Lam Hoo (Eds.), Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 (pp. 209-213). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APSIPA.2017.8282029

Ong, Simying ; Wong, Koksheik ; Tanaka, Kiyoshi. / Redesigning data hiding : interpolation-based scrambling-embedding method. Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. editor / Chang-Su Kim ; Wai Lam Hoo. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 209-213

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title = "Redesigning data hiding: interpolation-based scrambling-embedding method",

abstract = "In this paper, we explored the existing data hiding method and re-designed the method into a scrambling- embedding method to unify both scrambling and data embedding. Interpolated-based technique is revised and it is utilized to realize this unification. Experimental results indicate that the proposed method achieve scrambling while able to embed maximum up to ∼668,498.8 bits for interpolating 256×256 pixels image into 512×512 pixels image. Besides, parameter W is introduced to enable scalability in output image quality degradation. Finally, the proposed method is compared to the relevant methods for performance evaluation purposes.",

author = "Simying Ong and Koksheik Wong and Kiyoshi Tanaka",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017, APSIPA ASC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",

year = "2017",

doi = "10.1109/APSIPA.2017.8282029",

language = "English",

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editor = "Chang-Su Kim and \{Lam Hoo\}, Wai",

booktitle = "Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

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Ong, S, Wong, K & Tanaka, K 2017, Redesigning data hiding: interpolation-based scrambling-embedding method. in C-S Kim & W Lam Hoo (eds), Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 209-213, Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017, Kuala Lumpur, Malaysia, 12/12/17. https://doi.org/10.1109/APSIPA.2017.8282029

Redesigning data hiding: interpolation-based scrambling-embedding method. / Ong, Simying; Wong, Koksheik; Tanaka, Kiyoshi.
Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. ed. / Chang-Su Kim; Wai Lam Hoo. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 209-213.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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T1 - Redesigning data hiding

T2 - Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017

AU - Ong, Simying

AU - Wong, Koksheik

AU - Tanaka, Kiyoshi

N1 - Conference code: 9th

PY - 2017

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N2 - In this paper, we explored the existing data hiding method and re-designed the method into a scrambling- embedding method to unify both scrambling and data embedding. Interpolated-based technique is revised and it is utilized to realize this unification. Experimental results indicate that the proposed method achieve scrambling while able to embed maximum up to ∼668,498.8 bits for interpolating 256×256 pixels image into 512×512 pixels image. Besides, parameter W is introduced to enable scalability in output image quality degradation. Finally, the proposed method is compared to the relevant methods for performance evaluation purposes.

AB - In this paper, we explored the existing data hiding method and re-designed the method into a scrambling- embedding method to unify both scrambling and data embedding. Interpolated-based technique is revised and it is utilized to realize this unification. Experimental results indicate that the proposed method achieve scrambling while able to embed maximum up to ∼668,498.8 bits for interpolating 256×256 pixels image into 512×512 pixels image. Besides, parameter W is introduced to enable scalability in output image quality degradation. Finally, the proposed method is compared to the relevant methods for performance evaluation purposes.

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DO - 10.1109/APSIPA.2017.8282029

M3 - Conference Paper

AN - SCOPUS:85050477304

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BT - Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017

A2 - Kim, Chang-Su

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PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

Y2 - 12 December 2017 through 15 December 2017

ER -

Ong S, Wong K, Tanaka K. Redesigning data hiding: interpolation-based scrambling-embedding method. In Kim CS, Lam Hoo W, editors, Proceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 209-213 doi: 10.1109/APSIPA.2017.8282029

Redesigning data hiding: interpolation-based scrambling-embedding method

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