TY - GEN
T1 - Robust image watermarking based on local Zernike moments
AU - Singhal, Nitin
AU - Lee, Young Yoon
AU - Kim, Chang-Su
AU - Lee, Sang Uk
PY - 2007
Y1 - 2007
N2 - Invariant image features can be used to carry watermarks so as to improve the robustness of the watermarks against geometric transformations. However, most previous watermarking algorithms using invariant features are still sensitive to cropping attacks and combinations of rotation, scaling, and translation (RST) attacks. To improve the resilience against these attacks, we propose a multi-bit image watermarking algorithm using local Zernike moments (LZMs). The magnitude of LZMs are dither-modulated to embed watermark bits. To achieve scale invariance, we restore the original sampling rate using invariant centroid and geometric moments. Simulation results demonstrate that the proposed watermarking algorithm is robust against various geometric attacks as well as signal processing attacks.
AB - Invariant image features can be used to carry watermarks so as to improve the robustness of the watermarks against geometric transformations. However, most previous watermarking algorithms using invariant features are still sensitive to cropping attacks and combinations of rotation, scaling, and translation (RST) attacks. To improve the resilience against these attacks, we propose a multi-bit image watermarking algorithm using local Zernike moments (LZMs). The magnitude of LZMs are dither-modulated to embed watermark bits. To achieve scale invariance, we restore the original sampling rate using invariant centroid and geometric moments. Simulation results demonstrate that the proposed watermarking algorithm is robust against various geometric attacks as well as signal processing attacks.
KW - Digital image watermarking
KW - Digital right management
KW - Invariant image features
KW - Local Zernike moments
UR - http://www.scopus.com/inward/record.url?scp=48149105121&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48149105121&partnerID=8YFLogxK
U2 - 10.1109/MMSP.2007.4412901
DO - 10.1109/MMSP.2007.4412901
M3 - Conference contribution
AN - SCOPUS:48149105121
SN - 1424412749
SN - 9781424412747
T3 - 2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings
SP - 401
EP - 404
BT - 2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings
T2 - 2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007
Y2 - 1 October 2007 through 3 October 2007
ER -