A lossless image compression method with the reversible data embedding capacity

Ju-Yuan Hsiao, Zhi Yu Xu

Research output: Contribution to conferencePaper

Abstract

The current reversible data embedding techniques can be divided into 2 categories: those developed by the untreated original images and those developed by the images treated via the lossy compression as the reversible target. So far, there has not been any literature discussing the issue of the reversible data embedding action finished during the lossless still image compression. Our method employs Chuang and Lin's simplified lossless image compression method to develop a reversible data embedding technique. Our method successfully embeds the secret data in the lossless image compression codes and have the secret data reversed to the original image as the secret data are retrieved wherefrom. According to the experimental results, the proposed method performs well on the embedding capacity and compression effects.

Original languageEnglish
Pages27-32
Number of pages6
Publication statusPublished - 2009 Dec 1
EventICETE 2009 - International Joint Conference on e-Business and Telecommunications - Milan, Italy
Duration: 2009 Jul 72009 Jul 10

Other

OtherICETE 2009 - International Joint Conference on e-Business and Telecommunications
CountryItaly
CityMilan
Period09-07-0709-07-10

Fingerprint

Digital image storage
Electronic commerce
Image compression
Imaging systems
Image processing
Compression

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Management of Technology and Innovation
  • Computer Networks and Communications

Cite this

Hsiao, J-Y., & Xu, Z. Y. (2009). A lossless image compression method with the reversible data embedding capacity. 27-32. Paper presented at ICETE 2009 - International Joint Conference on e-Business and Telecommunications, Milan, Italy.
Hsiao, Ju-Yuan ; Xu, Zhi Yu. / A lossless image compression method with the reversible data embedding capacity. Paper presented at ICETE 2009 - International Joint Conference on e-Business and Telecommunications, Milan, Italy.6 p.
@conference{2559458b1c8f45a597b83634ebecec78,
title = "A lossless image compression method with the reversible data embedding capacity",
abstract = "The current reversible data embedding techniques can be divided into 2 categories: those developed by the untreated original images and those developed by the images treated via the lossy compression as the reversible target. So far, there has not been any literature discussing the issue of the reversible data embedding action finished during the lossless still image compression. Our method employs Chuang and Lin's simplified lossless image compression method to develop a reversible data embedding technique. Our method successfully embeds the secret data in the lossless image compression codes and have the secret data reversed to the original image as the secret data are retrieved wherefrom. According to the experimental results, the proposed method performs well on the embedding capacity and compression effects.",
author = "Ju-Yuan Hsiao and Xu, {Zhi Yu}",
year = "2009",
month = "12",
day = "1",
language = "English",
pages = "27--32",
note = "ICETE 2009 - International Joint Conference on e-Business and Telecommunications ; Conference date: 07-07-2009 Through 10-07-2009",

}

Hsiao, J-Y & Xu, ZY 2009, 'A lossless image compression method with the reversible data embedding capacity' Paper presented at ICETE 2009 - International Joint Conference on e-Business and Telecommunications, Milan, Italy, 09-07-07 - 09-07-10, pp. 27-32.

A lossless image compression method with the reversible data embedding capacity. / Hsiao, Ju-Yuan; Xu, Zhi Yu.

2009. 27-32 Paper presented at ICETE 2009 - International Joint Conference on e-Business and Telecommunications, Milan, Italy.

Research output: Contribution to conferencePaper

TY - CONF

T1 - A lossless image compression method with the reversible data embedding capacity

AU - Hsiao, Ju-Yuan

AU - Xu, Zhi Yu

PY - 2009/12/1

Y1 - 2009/12/1

N2 - The current reversible data embedding techniques can be divided into 2 categories: those developed by the untreated original images and those developed by the images treated via the lossy compression as the reversible target. So far, there has not been any literature discussing the issue of the reversible data embedding action finished during the lossless still image compression. Our method employs Chuang and Lin's simplified lossless image compression method to develop a reversible data embedding technique. Our method successfully embeds the secret data in the lossless image compression codes and have the secret data reversed to the original image as the secret data are retrieved wherefrom. According to the experimental results, the proposed method performs well on the embedding capacity and compression effects.

AB - The current reversible data embedding techniques can be divided into 2 categories: those developed by the untreated original images and those developed by the images treated via the lossy compression as the reversible target. So far, there has not been any literature discussing the issue of the reversible data embedding action finished during the lossless still image compression. Our method employs Chuang and Lin's simplified lossless image compression method to develop a reversible data embedding technique. Our method successfully embeds the secret data in the lossless image compression codes and have the secret data reversed to the original image as the secret data are retrieved wherefrom. According to the experimental results, the proposed method performs well on the embedding capacity and compression effects.

UR - http://www.scopus.com/inward/record.url?scp=74549204545&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=74549204545&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:74549204545

SP - 27

EP - 32

ER -

Hsiao J-Y, Xu ZY. A lossless image compression method with the reversible data embedding capacity. 2009. Paper presented at ICETE 2009 - International Joint Conference on e-Business and Telecommunications, Milan, Italy.