
Digital Watermarking using Multiscale Ridgelet Transform
Author(s) -
Manmit Kaur,
Harsh Sinha
Publication year - 2013
Publication title -
international journal of computer and communication technology
Language(s) - English
Resource type - Journals
eISSN - 2231-0371
pISSN - 0975-7449
DOI - 10.47893/ijcct.2013.1188
Subject(s) - digital watermarking , discrete cosine transform , artificial intelligence , wavelet transform , watermark , computer science , computer vision , lossy compression , discrete wavelet transform , image (mathematics) , wavelet , mathematics , pattern recognition (psychology)
The multi-resolution watermarking method for digital images proposed in this work. The multiscale ridgelet coefficients of low and high frequency bands of the watermark is embedded to the most significant coefficients at low and high frequency bands of the multiscale ridgelet of an host image, respectively. A multi-resolution nature of multiscale ridgelet transform is exploiting in the process of edge detection. Experimental results of the proposed watermarking method are compared with the previously available watermarking algorithm wavelet transform. Moreover, the proposed watermarking method also tested on images attached by Discrete Cosine Transform (DCT) and wavelet based lossy image compression techniques.