An extended reversible data hiding method for HDR images using edge estimation

Minagi Ueda; Shoko Imaizumi; KokSheik Wong

An extended reversible data hiding method for HDR images using edge estimation

Minagi Ueda, Shoko Imaizumi, KokSheik Wong

Malaysia Sch of Information Technology

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

Abstract

We extend a reversible data hiding method for high dynamic range (HDR) images with RGBE format in this paper. In RGBE format, the edge distribution in each channel is similar to those in the other channels. The proposed method focuses on this feature and improves the edge estimation algorithm of the conventional method to detect more accurate prediction values. Optimal prediction values are first obtained for target pixels based on the edge estimation, and then the payload is embedded using a histogram of the prediction errors. Our experimental results show that the prediction values, which are close to the target pixel values, can be obtained, and thus the hiding capacity of the proposed method is higher than that of the conventional method.

Original language	English
Title of host publication	2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings
Editors	Hiroshi Higashi, Shoichi Koyama
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1821-1827
Number of pages	7
ISBN (Electronic)	9789881476890
ISBN (Print)	9781665441629
Publication status	Published - 2021
Event	Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2021 - Tokyo, Japan Duration: 14 Dec 2021 → 17 Dec 2021 https://ieeexplore.ieee.org/xpl/conhome/9688568/proceeding (Proceedings) http://www.apsipa.org/apsipa2021/ (Website)

Publication series

Name	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)	2640-009X
ISSN (Electronic)	2640-0103

Conference

Conference	Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2021
Abbreviated title	APSIPA ASC 2021
Country/Territory	Japan
City	Tokyo
Period	14/12/21 → 17/12/21
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9688568/proceeding (Proceedings) http://www.apsipa.org/apsipa2021/ (Website)

Access to Document

https://ieeexplore.ieee.org/document/9689574

Cite this

Ueda, M., Imaizumi, S., & Wong, K. (2021). An extended reversible data hiding method for HDR images using edge estimation. In H. Higashi, & S. Koyama (Eds.), 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings (pp. 1821-1827). (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC). IEEE, Institute of Electrical and Electronics Engineers. https://ieeexplore.ieee.org/document/9689574

Ueda, Minagi ; Imaizumi, Shoko ; Wong, KokSheik. / An extended reversible data hiding method for HDR images using edge estimation. 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings. editor / Hiroshi Higashi ; Shoichi Koyama. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2021. pp. 1821-1827 (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC).

@inproceedings{081821090e6b4a96ac88df4a220257ec,

title = "An extended reversible data hiding method for HDR images using edge estimation",

abstract = "We extend a reversible data hiding method for high dynamic range (HDR) images with RGBE format in this paper. In RGBE format, the edge distribution in each channel is similar to those in the other channels. The proposed method focuses on this feature and improves the edge estimation algorithm of the conventional method to detect more accurate prediction values. Optimal prediction values are first obtained for target pixels based on the edge estimation, and then the payload is embedded using a histogram of the prediction errors. Our experimental results show that the prediction values, which are close to the target pixel values, can be obtained, and thus the hiding capacity of the proposed method is higher than that of the conventional method. ",

author = "Minagi Ueda and Shoko Imaizumi and KokSheik Wong",

note = "Publisher Copyright: {\textcopyright} 2021 APSIPA.; Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2021, APSIPA ASC 2021 ; Conference date: 14-12-2021 Through 17-12-2021",

year = "2021",

language = "English",

isbn = "9781665441629",

series = "Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC",

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

pages = "1821--1827",

editor = "Hiroshi Higashi and Shoichi Koyama",

booktitle = "2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/9688568/proceeding, http://www.apsipa.org/apsipa2021/",

}

Ueda, M, Imaizumi, S & Wong, K 2021, An extended reversible data hiding method for HDR images using edge estimation. in H Higashi & S Koyama (eds), 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1821-1827, Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2021, Tokyo, Japan, 14/12/21. <https://ieeexplore.ieee.org/document/9689574>

An extended reversible data hiding method for HDR images using edge estimation. / Ueda, Minagi; Imaizumi, Shoko; Wong, KokSheik.
2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings. ed. / Hiroshi Higashi; Shoichi Koyama. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2021. p. 1821-1827 (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC).

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

TY - GEN

T1 - An extended reversible data hiding method for HDR images using edge estimation

AU - Ueda, Minagi

AU - Imaizumi, Shoko

AU - Wong, KokSheik

PY - 2021

Y1 - 2021

N2 - We extend a reversible data hiding method for high dynamic range (HDR) images with RGBE format in this paper. In RGBE format, the edge distribution in each channel is similar to those in the other channels. The proposed method focuses on this feature and improves the edge estimation algorithm of the conventional method to detect more accurate prediction values. Optimal prediction values are first obtained for target pixels based on the edge estimation, and then the payload is embedded using a histogram of the prediction errors. Our experimental results show that the prediction values, which are close to the target pixel values, can be obtained, and thus the hiding capacity of the proposed method is higher than that of the conventional method.

AB - We extend a reversible data hiding method for high dynamic range (HDR) images with RGBE format in this paper. In RGBE format, the edge distribution in each channel is similar to those in the other channels. The proposed method focuses on this feature and improves the edge estimation algorithm of the conventional method to detect more accurate prediction values. Optimal prediction values are first obtained for target pixels based on the edge estimation, and then the payload is embedded using a histogram of the prediction errors. Our experimental results show that the prediction values, which are close to the target pixel values, can be obtained, and thus the hiding capacity of the proposed method is higher than that of the conventional method.

UR - https://www.scopus.com/pages/publications/85126687579

M3 - Conference Paper

AN - SCOPUS:85126687579

SN - 9781665441629

T3 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC

SP - 1821

EP - 1827

BT - 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings

A2 - Higashi, Hiroshi

A2 - Koyama, Shoichi

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2021

Y2 - 14 December 2021 through 17 December 2021

ER -

Ueda M, Imaizumi S, Wong K. An extended reversible data hiding method for HDR images using edge estimation. In Higashi H, Koyama S, editors, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2021. p. 1821-1827. (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC).

An extended reversible data hiding method for HDR images using edge estimation

Abstract

Publication series

Conference

Access to Document

Other files and links

Cite this