Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization

Suah Kim; Hyoung Joong Kim

doi:10.1109/ICIVC47709.2019.8980970

Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization

Suah Kim, Hyoung Joong Kim

School of Cybersecurity

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

2 Citations (Scopus)

Abstract

Automatic contrast enhancement using reversible data hiding (ACERDH) has been found to be useful in automatic image enhancement field. Instead of just providing data hiding ability, ACERDH also equalizes the pixel histogram as a part of data hiding process. This allows original image recovery directly from the enhanced image, without any additional data, which provides file saving feature by not having to save the original image. In this paper, we propose two improvements and two novel distortion minimization methods for ACERDH [1] method. The experimental results show that the proposed method has higher embedding capacity and lower distortion than ACERDH.

Original language	English
Title of host publication	2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	291-295
Number of pages	5
ISBN (Electronic)	9781728123257
DOIs	https://doi.org/10.1109/ICIVC47709.2019.8980970
Publication status	Published - 2019 Jul
Event	4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019 - Xiamen, China Duration: 2019 Jul 5 → 2019 Jul 7

Publication series

Name	2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019

Conference

Conference	4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019
Country/Territory	China
City	Xiamen
Period	19/7/5 → 19/7/7

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea grant funded by the Korea government (MEST) (No.NRF-2019R1I1A1A01059582) and supported by Institute for Information & communications Technology Promotion grant funded by the Korea government (MSIP) (No.2018-0-00365, Development of on-off hybrid blockchain technology for real-time large-scale data distribution).

Publisher Copyright:
© 2019 IEEE.

Keywords

automatic contrast enhancement
reversible data hiding

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Signal Processing
Media Technology

Access to Document

10.1109/ICIVC47709.2019.8980970

Cite this

Kim, S., & Kim, H. J. (2019). Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization. In 2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019 (pp. 291-295). Article 8980970 (2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIVC47709.2019.8980970

Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization. / Kim, Suah; Kim, Hyoung Joong.
2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 291-295 8980970 (2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019).

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

Kim, S & Kim, HJ 2019, Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization. in 2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019., 8980970, 2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 291-295, 4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019, Xiamen, China, 19/7/5. https://doi.org/10.1109/ICIVC47709.2019.8980970

Kim S, Kim HJ. Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization. In 2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 291-295. 8980970. (2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019). doi: 10.1109/ICIVC47709.2019.8980970

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abstract = "Automatic contrast enhancement using reversible data hiding (ACERDH) has been found to be useful in automatic image enhancement field. Instead of just providing data hiding ability, ACERDH also equalizes the pixel histogram as a part of data hiding process. This allows original image recovery directly from the enhanced image, without any additional data, which provides file saving feature by not having to save the original image. In this paper, we propose two improvements and two novel distortion minimization methods for ACERDH [1] method. The experimental results show that the proposed method has higher embedding capacity and lower distortion than ACERDH.",

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note = "Funding Information: ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea grant funded by the Korea government (MEST) (No.NRF-2019R1I1A1A01059582) and supported by Institute for Information & communications Technology Promotion grant funded by the Korea government (MSIP) (No.2018-0-00365, Development of on-off hybrid blockchain technology for real-time large-scale data distribution). Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019 ; Conference date: 05-07-2019 Through 07-07-2019",

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AB - Automatic contrast enhancement using reversible data hiding (ACERDH) has been found to be useful in automatic image enhancement field. Instead of just providing data hiding ability, ACERDH also equalizes the pixel histogram as a part of data hiding process. This allows original image recovery directly from the enhanced image, without any additional data, which provides file saving feature by not having to save the original image. In this paper, we propose two improvements and two novel distortion minimization methods for ACERDH [1] method. The experimental results show that the proposed method has higher embedding capacity and lower distortion than ACERDH.

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Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this