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

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
頁面328-331
頁數4
出版狀態Published - 1 十二月 2011
事件12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
持續時間: 13 六月 201115 六月 2011

出版系列

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

Conference

Conference12th IAPR Conference on Machine Vision Applications, MVA 2011
國家Japan
城市Nara
期間13/06/1115/06/11

指紋 深入研究「A grayscale image authentication method with a pixel-level self-recovering capability against image tampering」主題。共同形成了獨特的指紋。

引用此