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Published in:
Image Noise and Digital Image Forensics Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Blind Watermarking Based on Adaptive Lattice Quantization Index Modulation

Authors : Bingwen Feng, Wei Lu, Wei Sun, Zhuoqian Liang, Juan Liu

Published in: Digital-Forensics and Watermarking

Publisher: Springer International Publishing

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Abstract

Lattice Quantization Index Modulation (LQIM) is an important tool in blind watermarking. Traditional compensative LQIM can only handle the global tradeoff between fidelity and robustness. To adapt the embedding strength to the local perceptual characteristics of the host signal, this paper proposes an adaptive LQIM scheme. The adaptive encoder minimizes the embedding distortion in the term of weighted-mean-squared error (wMSE) while maintaining the robustness at an acceptable level. The weight value associated with each signal element can be set according to certain perceptual measurement and is not required at the decoder. Experimental results demonstrate the superiority of the proposed scheme. Compared with the compensative LQIM, the proposed adaptive LQIM provides better fidelity without the loss of robustness.

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previous chapter Nondestructive Readout of Copyright Information Embedded in Objects Fabricated with 3-D Printers
next chapter Self-Embedding Watermarking Scheme Based on MDS Codes
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Metadata
Title
Blind Watermarking Based on Adaptive Lattice Quantization Index Modulation
Authors
Bingwen Feng
Wei Lu
Wei Sun
Zhuoqian Liang
Juan Liu
Copyright Year
2016
Book
Digital-Forensics and Watermarking

Print ISBN: 978-3-319-31959-9

Electronic ISBN: 978-3-319-31960-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-31960-5_20

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