Image Watermarking Based on Contourlet in a Noisy Environment Using Optimum Detector

Devi. P; Prakash. V

Digital watermarking is an emerging technique to protect data security and intellectual property right. Identification or verification of watermarking patterns can be achieved by detecting watermarks in received signals. Watermarking is applied in the contourlet domain, which represents image edges sparsely, as the human visual system is less sensitive to the image edges. The contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and directional filter banks. In the presented scheme , watermark data is embedded in directional sub-band with the highest energy. By modeling the contourlet coefficients with General Gaussian Distribution (GGD), the distribution of watermarked noisy coefficients is analytically calculated. At the receiver, based on the Maximum Likelihood (ML) decision rule, an optimum detector by the aid of channel side information is proposed. In the next step, a blind extension of the suggested algorithm is presented using the patchwork idea.

Select Volume / Issues:

• Volume 3 Issue 6, Nov. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Contourlet Transform; Maximum Likelihood Detector; Multiplicative Image Watermarking

Journal:

IJECCE

Volume:

3

Number:

6

Pages:

1586-1590

Month:

November