Improvements on data hiding for lossy compression

Husrev T. Sencar; Ali N. Akansu; Mahalingam Ramkumar

doi:10.1109/icassp.2002.5745396

Improvements on data hiding for lossy compression

Husrev T. Sencar, Ali N. Akansu, Mahalingam Ramkumar

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

Compression is the most common application that all forms of multimedia data undergo. Lossy nature of the compression due to the use of quantizers should be taken into account by the watermarking technique employed. In this paper, we present a data hiding scheme that incorporates the embedding with the quantization of lossy compression. We show that embedder-detector sets marking use of compression scheme's quantization characteristics have better payload and lower compression bit rates. We also optimized the system parameters that maximize the hiding rate at different compression levels.

Original language	English (US)
Pages (from-to)	IV/3449-IV/3452
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	4
DOIs	https://doi.org/10.1109/icassp.2002.5745396
State	Published - 2002
Event	2002 IEEE International Conference on Acoustic, Speech, and Signal Processing - Orlando, FL, United States Duration: May 13 2002 → May 17 2002

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/icassp.2002.5745396

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journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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AU - Akansu, Ali N.

AU - Ramkumar, Mahalingam

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AB - Compression is the most common application that all forms of multimedia data undergo. Lossy nature of the compression due to the use of quantizers should be taken into account by the watermarking technique employed. In this paper, we present a data hiding scheme that incorporates the embedding with the quantization of lossy compression. We show that embedder-detector sets marking use of compression scheme's quantization characteristics have better payload and lower compression bit rates. We also optimized the system parameters that maximize the hiding rate at different compression levels.

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JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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T2 - 2002 IEEE International Conference on Acoustic, Speech, and Signal Processing

Y2 - 13 May 2002 through 17 May 2002

ER -

Improvements on data hiding for lossy compression

Abstract

All Science Journal Classification (ASJC) codes

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