A grayscale image authentication method with a pixel-level self-recovering capability against image tampering

Che Wei Lee; Wen-Hsiang Tsai

A grayscale image authentication method with a pixel-level self-recovering capability against image tampering

Che Wei Lee^*, Wen-Hsiang Tsai

^*Corresponding author for this work

Department of Computer Science

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

1 Scopus citations

Abstract

A new grayscale image authentication method with a pixel-level self-recovering capability for tampered region repairing is proposed. By dividing the grayscale range into bins, a 3-bit bin code is generated as the authentication signal for each pixel in the input cover image. The authentication signals then are embedded randomly into the image pixels for the double purposes of tampering localization and data repairing in the image authentication process. This leads to great saving of storage space for embedding the signals and recovery data, and so results in the possibility of pixel-level authentication. Tampered pixel repairing is conducted by retrieving the embedded bin code to obtain a corresponding representative value for use as the new gray value of the tempered pixel. Good experimental results show the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
Chapter	9-25
Pages	328-331
Number of pages	4
State	Published - 1 Dec 2011
Event	12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan Duration: 13 Jun 2011 → 15 Jun 2011

Publication series

Name	Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

Conference

Conference	12th IAPR Conference on Machine Vision Applications, MVA 2011
Country/Territory	Japan
City	Nara
Period	13/06/11 → 15/06/11

Cite this

@inproceedings{7d6357250712498a9aa05c600561031a,

title = "A grayscale image authentication method with a pixel-level self-recovering capability against image tampering",

abstract = "A new grayscale image authentication method with a pixel-level self-recovering capability for tampered region repairing is proposed. By dividing the grayscale range into bins, a 3-bit bin code is generated as the authentication signal for each pixel in the input cover image. The authentication signals then are embedded randomly into the image pixels for the double purposes of tampering localization and data repairing in the image authentication process. This leads to great saving of storage space for embedding the signals and recovery data, and so results in the possibility of pixel-level authentication. Tampered pixel repairing is conducted by retrieving the embedded bin code to obtain a corresponding representative value for use as the new gray value of the tempered pixel. Good experimental results show the effectiveness of the proposed method.",

author = "Lee, {Che Wei} and Wen-Hsiang Tsai ",

year = "2011",

month = dec,

day = "1",

language = "English",

isbn = "9784901122115",

series = "Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011",

pages = "328--331",

booktitle = "Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011",

note = "12th IAPR Conference on Machine Vision Applications, MVA 2011 ; Conference date: 13-06-2011 Through 15-06-2011",

}

Lee, CW & Tsai , W-H 2011, A grayscale image authentication method with a pixel-level self-recovering capability against image tampering. in Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011. Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011, pp. 328-331, 12th IAPR Conference on Machine Vision Applications, MVA 2011, Nara, Japan, 13/06/11.

A grayscale image authentication method with a pixel-level self-recovering capability against image tampering. / Lee, Che Wei; Tsai , Wen-Hsiang.
Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011. 2011. p. 328-331 (Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011).

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

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AU - Lee, Che Wei

AU - Tsai , Wen-Hsiang

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N2 - A new grayscale image authentication method with a pixel-level self-recovering capability for tampered region repairing is proposed. By dividing the grayscale range into bins, a 3-bit bin code is generated as the authentication signal for each pixel in the input cover image. The authentication signals then are embedded randomly into the image pixels for the double purposes of tampering localization and data repairing in the image authentication process. This leads to great saving of storage space for embedding the signals and recovery data, and so results in the possibility of pixel-level authentication. Tampered pixel repairing is conducted by retrieving the embedded bin code to obtain a corresponding representative value for use as the new gray value of the tempered pixel. Good experimental results show the effectiveness of the proposed method.

AB - A new grayscale image authentication method with a pixel-level self-recovering capability for tampered region repairing is proposed. By dividing the grayscale range into bins, a 3-bit bin code is generated as the authentication signal for each pixel in the input cover image. The authentication signals then are embedded randomly into the image pixels for the double purposes of tampering localization and data repairing in the image authentication process. This leads to great saving of storage space for embedding the signals and recovery data, and so results in the possibility of pixel-level authentication. Tampered pixel repairing is conducted by retrieving the embedded bin code to obtain a corresponding representative value for use as the new gray value of the tempered pixel. Good experimental results show the effectiveness of the proposed method.

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M3 - Conference contribution

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T3 - Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

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BT - Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

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A grayscale image authentication method with a pixel-level self-recovering capability against image tampering

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