TY - GEN
T1 - A watermarking method using quantization and statistical characteristics of wavelet transform
AU - Byun, Keun Duck
AU - Lee, Sangjin
AU - Kim, Hyung Jun
PY - 2005
Y1 - 2005
N2 - A statistical watermarking method is proposed in This paper. The proposed method uses two different algorithms according to the statistical characteristic of wavelet subbands of an input image. We embed a logo watermark at the middle-frequency band for the robustness of it. The proposed method is a blind scheme, so we need only the water-marked image when the embedded watermark is extracted. We achieved PSNR values around 40dB as shown in the experiment results. It has very fast processing speed and also robust against attacks.
AB - A statistical watermarking method is proposed in This paper. The proposed method uses two different algorithms according to the statistical characteristic of wavelet subbands of an input image. We embed a logo watermark at the middle-frequency band for the robustness of it. The proposed method is a blind scheme, so we need only the water-marked image when the embedded watermark is extracted. We achieved PSNR values around 40dB as shown in the experiment results. It has very fast processing speed and also robust against attacks.
UR - http://www.scopus.com/inward/record.url?scp=33745160370&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745160370&partnerID=8YFLogxK
U2 - 10.1109/PDCAT.2005.57
DO - 10.1109/PDCAT.2005.57
M3 - Conference contribution
AN - SCOPUS:33745160370
SN - 0769524052
SN - 9780769524054
T3 - Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings
SP - 689
EP - 693
BT - Proceedings - Sixth International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005
T2 - 6th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005
Y2 - 5 December 2005 through 8 December 2005
ER -