Reversible data hiding using maximum and minimum filters for image interpolation

Genki Ono; Kohei Inoue; Kenji Hara; Kiichi Urahama

doi:10.1109/GCCE.2017.8229304

Reversible data hiding using maximum and minimum filters for image interpolation

Genki Ono, Kohei Inoue, Kenji Hara, Kiichi Urahama

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

2 Citations (Scopus)

Abstract

We propose a reversible data hiding method for embedding secret data in a scaled-up image of a cover image, where the scaled-up image is computed using maximum and minimum filters to achieve higher payload than that of conventional methods based on neighbor mean interpolation. Experimental results show that the proposed method outperforms conventional methods in both data-hiding capacity and image quality.

Original language	English
Title of host publication	2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781509040452
DOIs	https://doi.org/10.1109/GCCE.2017.8229304
Publication status	Published - Dec 19 2017
Event	6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan Duration: Oct 24 2017 → Oct 27 2017

Publication series

Name	2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
Volume	2017-January

Other

Other	6th IEEE Global Conference on Consumer Electronics, GCCE 2017
Country/Territory	Japan
City	Nagoya
Period	10/24/17 → 10/27/17

All Science Journal Classification (ASJC) codes

Media Technology
Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/GCCE.2017.8229304

Cite this

Ono, G., Inoue, K., Hara, K., & Urahama, K. (2017). Reversible data hiding using maximum and minimum filters for image interpolation. In 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017 (pp. 1-2). (2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2017.8229304

Reversible data hiding using maximum and minimum filters for image interpolation. / Ono, Genki; Inoue, Kohei ; Hara, Kenji et al.
2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-2 (2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017; Vol. 2017-January).

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

Ono, G, Inoue, K , Hara, K & Urahama, K 2017, Reversible data hiding using maximum and minimum filters for image interpolation. in 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017. 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 6th IEEE Global Conference on Consumer Electronics, GCCE 2017, Nagoya, Japan, 10/24/17. https://doi.org/10.1109/GCCE.2017.8229304

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abstract = "We propose a reversible data hiding method for embedding secret data in a scaled-up image of a cover image, where the scaled-up image is computed using maximum and minimum filters to achieve higher payload than that of conventional methods based on neighbor mean interpolation. Experimental results show that the proposed method outperforms conventional methods in both data-hiding capacity and image quality.",

author = "Genki Ono and Kohei Inoue and Kenji Hara and Kiichi Urahama",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by JSPS KAKENHI Grant Number JP16H03019. Publisher Copyright: {\textcopyright} 2017 IEEE.; 6th IEEE Global Conference on Consumer Electronics, GCCE 2017 ; Conference date: 24-10-2017 Through 27-10-2017",

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AB - We propose a reversible data hiding method for embedding secret data in a scaled-up image of a cover image, where the scaled-up image is computed using maximum and minimum filters to achieve higher payload than that of conventional methods based on neighbor mean interpolation. Experimental results show that the proposed method outperforms conventional methods in both data-hiding capacity and image quality.

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Reversible data hiding using maximum and minimum filters for image interpolation

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