A Robust Watermarking Algorithm For JPEG Images

DOI

10.2991/jimec-17.2017.11How to use a DOI?

Keywords

JPEG image; singular value decomposition perturbation theory; quantized DCT coefficient; dither modulation

Abstract

This paper proposes a robust and blind watermarking algorithm based on matrix Singular Value Decomposition (SVD) perturbation theory for JPEG image copyright protection. First, the quantized DCT coefficient blocks are extracted from the JPEG image, then SVD is performed on each block, and finally the watermark is embedded into a set of selected maximum singular values of the quantized Discrete Cosine Transform (DCT) coefficients using dither modulation. From the embedding principle of the watermarking algorithm, we can see that the watermark information can be completely extracted correctly when the watermarked image under certain attack. A large number of experiments show that the algorithm has a higher degree of robustness against attacks such as Gaussian noise and JPEG compression, etc.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Baosheng Sun
AU  - Daofu Gong
AU  - Fenlin Liu
PY  - 2017/10
DA  - 2017/10
TI  - A Robust Watermarking Algorithm For JPEG Images
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 54
EP  - 58
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.11
DO  - 10.2991/jimec-17.2017.11
ID  - Sun2017/10
ER  -