Title :
Image watermarking based on wavelet hard thresholding
Author :
Al-khassaweneh, Mahmood ; Aviyente, Selin
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
In this paper, we present a robust watermarking technique that uses the wavelet based hard thresholding concept for image denoising to determine the wavelet coefficients to be watermarked. A multi-bit watermark is embedded into the discrete wavelet coefficients of a still image. A corresponding blind watermark extraction algorithm is proposed. The proposed method is compared with other multiresolution watermarking methods. The simulation results show that the proposed method provides better performance under most attacks including JPEG compression.
Keywords :
data compression; discrete wavelet transforms; image denoising; image resolution; image watermarking; JPEG compression; blind watermark extraction algorithm; discrete wavelet coefficients; image denoising; image watermarking; multibit watermark; multiresolution watermarking methods; watermarking technique; wavelet based hard thresholding concept; AWGN; Discrete wavelet transforms; Image coding; Noise reduction; Robustness; Transform coding; Watermarking;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1