TY - GEN
T1 - Integer wavelet transform based watermarking system for PCM signals
AU - González-Lee, Mario
AU - Morales-Mendoza, Luis J.
AU - Vázquez-Bautista, Rene F.
AU - Calderon-Ramon, Celia
AU - Pérez-Meana, Héctor
AU - Nakano-Miyatake, Mariko
PY - 2013
Y1 - 2013
N2 - In this paper, a watermarking system based on the integer wavelet transform is proposed. A set of different wavelets was chosen for this propose so their performance as watermark transmission channel can be analyzed. The watermark is embedded in the second decomposition level of the wavelet transform of a PCM signal in a block wise approach, the coefficients of the wavelet transform are assumed to be accurately modeled as a Laplacian channel. A set of attacks were performed in order to test system's robustness, we found that this approach is robust against several attacks such as additive white noise, low pass filtering, cropping, among other attacks; the best suited wavelet class for developing watermarking systems was identified too.
AB - In this paper, a watermarking system based on the integer wavelet transform is proposed. A set of different wavelets was chosen for this propose so their performance as watermark transmission channel can be analyzed. The watermark is embedded in the second decomposition level of the wavelet transform of a PCM signal in a block wise approach, the coefficients of the wavelet transform are assumed to be accurately modeled as a Laplacian channel. A set of attacks were performed in order to test system's robustness, we found that this approach is robust against several attacks such as additive white noise, low pass filtering, cropping, among other attacks; the best suited wavelet class for developing watermarking systems was identified too.
KW - Integer wavelet transform
KW - Laplacian channel
KW - Optimal detector
KW - Watermarking
UR - http://www.scopus.com/inward/record.url?scp=84888209943&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38989-4_19
DO - 10.1007/978-3-642-38989-4_19
M3 - Contribución a la conferencia
SN - 9783642389887
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 185
EP - 194
BT - Pattern Recognition - 5th Mexican Conference, MCPR 2013, Proceedings
T2 - 5th Mexican Conference on Pattern Recognition, MCPR 2013
Y2 - 26 June 2013 through 29 June 2013
ER -