Title :
Digital image watermarking using edge detection and wavelets with robustness analysis against JPEG compression attacks
Author :
Senthil, V. ; Bhaskaran, R.
Author_Institution :
Dept. of MCA, Thiagarajar Sch. of Manage., Madurai
Abstract :
In this paper we analyze the robustness of watermarking method in still images using Haar, Daubecheies and biorthogonal wavelets. The embedding process uses a canny edge detection method and hides the watermark with the perceptual considerations on different modalities of images. The extraction scheme uses non-blind method to retrieve the watermark. We simulate the JPEG compression attack with different quality standards to check the robustness and prove the authenticity of the digital content.
Keywords :
Haar transforms; data compression; data encapsulation; edge detection; image coding; watermarking; wavelet transforms; Daubecheies wavelet; Haar wavelet; JPEG compression attack robustness analysis; biorthogonal wavelet; canny edge detection method; data hiding; digital content authenticity; digital image watermarking; still image; Digital images; Discrete wavelet transforms; Image analysis; Image coding; Image edge detection; Protection; Robustness; Transform coding; Watermarking; Wavelet analysis;
Conference_Titel :
Innovations in Information Technology, 2008. IIT 2008. International Conference on
Conference_Location :
Al Ain
Print_ISBN :
978-1-4244-3396-4
Electronic_ISBN :
978-1-4244-3397-1
DOI :
10.1109/INNOVATIONS.2008.4781720