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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
Pages328-331
Number of pages4
StatePublished - 1 Dec 2011
Event12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
Duration: 13 Jun 201115 Jun 2011

Publication series

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

Conference

Conference12th IAPR Conference on Machine Vision Applications, MVA 2011
CountryJapan
CityNara
Period13/06/1115/06/11

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