Blind Detection of LSB Watermarking at Low Embedding Rate in Grayscale Images

LingNa Hu; LingGe  Jiang

2nd International ICST Conference on Communications and Networking in China

Research Article

Blind Detection of LSB Watermarking at Low Embedding Rate in Grayscale Images

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2007.4469415,
    author={LingNa Hu and LingGe  Jiang},
    title={Blind Detection of LSB Watermarking at Low Embedding Rate in Grayscale Images},
    proceedings={2nd International ICST Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2008},
    month={3},
    keywords={Blind detection; LSB watermarking; Segmentation; Entropy},
    doi={10.1109/CHINACOM.2007.4469415}
}

LingNa Hu
LingGe Jiang
Year: 2008
Blind Detection of LSB Watermarking at Low Embedding Rate in Grayscale Images
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2007.4469415

LingNa Hu¹^,*, LingGe Jiang¹^,*

1: Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

*Contact email: lnhu@sjtu.edu.cn, lgjiang@sjtu.edu.cn

Abstract

Without any knowledge of original image a novel blind detection method on existence of LSB (Least Significant Bit) watermarking in grayscale images at low embedding rate is proposed in this paper. The proposed method employs image segmentation as preprocessing. Having studied the local character of MST (Minimum Spanning Tree) of components the entropy of image is defined as statistical variable. The test images are grouped into two groups according to whether they are compressed or not. Compared with RS method and SPA method the proposed method gives better detection results at low embedding rate and different probability of false positive.

Keywords: Blind detection; LSB watermarking; Segmentation; Entropy

Published: 2008-03-07
Publisher: IEEE
Modified: 2011-07-14

: http://dx.doi.org/10.1109/CHINACOM.2007.4469415