Extrinsic Signatures Embedding and Detection in Electrophotographic Halftone Images through Laser Intensity Modulation

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Author

Pei-Ju Chiang and Aravind K. Mikkilineni and Edward J. Delp and Jan P. Allebach and George T.-C. Chiu

Tech report number

CERIAS TR 2006-51

Entry type

article

Abstract

In this paper, we demonstrated the feasibility of embedding unperceivable code sequence by modulating dot gains through laser intensity modulation for halftone images. From a communication systems point of view, a printer and a document scanner form the physical layer of a communication channel, where information can be hidden in halftone images and reliably transmitted and extracted. In the proposed approach, we will leverage our previous results in embedding unperceivable banding signals to halftone images and develop an integrated embedding and detection algorithm to embed and extract information with high payload capacity. Specifically, we will characterize the embedding capacity and detection rate associated with the proposed algorithm. Preliminary experimental results will be presented.

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Date

2006 – 09

Address

Denver, CO

Journal

Proceedings of the IS\&T's NIP22: International Conference on Digital Printing Technologies

Key alpha

bib:ChMiDe06

Pages

432-435

Affiliation

Purdue University

Publication Date

2006-09-01

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@Article{ bib:ChMiDe06,
	title = "Extrinsic Signatures Embedding and Detection in Electrophotographic Halftone Images through Laser Intensity Modulation",
	author = "Pei-Ju Chiang and Aravind K. Mikkilineni and Edward J. Delp and Jan P. Allebach and George T.-C. Chiu",
	year = "2006",
	month = "09",
	address = "Denver, CO",
	journal = "Proceedings of the IS\&T's NIP22: International Conference on Digital Printing Technologies",
	pages = "432-435",
	abstract = "In this paper, we demonstrated the feasibility of embedding
unperceivable code sequence by modulating dot gains through
laser intensity modulation for halftone images. From a
communication systems point of view, a printer and a document
scanner form the physical layer of a communication channel,
where information can be hidden in halftone images and reliably
transmitted and extracted. In the proposed approach, we will
leverage our previous results in embedding unperceivable banding
signals to halftone images and develop an integrated embedding
and detection algorithm to embed and extract information with
high payload capacity. Specifically, we will characterize the
embedding capacity and detection rate associated with the
proposed algorithm. Preliminary experimental results will be
presented.",
	affiliation = "Purdue University",
}