Evaluation of spread spectrum watermarking schemes in the wavelet domain using HVS characteristics

Author

Zolghadrasli, Alireza ; Rezazadeh, Soroosh

Author_Institution

Dept. of Electr. Eng., Shiraz Univ., Shiraz

fYear

2007

fDate

12-15 Feb. 2007

Firstpage

1

Lastpage

4

Abstract

In this paper, we introduce a multiresolution watermarking method for copyright protection of digital images. The method is based on the discrete wavelet transform. A noise type Gaussian sequence is used as watermark. To embed the watermark robustly and imperceptibly, watermark components are added to the significant coefficients of each selected subband by considering the human visual system (HVS) characteristics. Some small modifications are performed to improve HVS model. The host image is needed in watermark extraction procedure and normalized correlation function (NCF) is used to measure similarities of extracted watermarks. It is shown that this method is robust against wide variety of attacks. Comparison with the existing methods shows the better performance of this suggested method.

Keywords

copy protection; discrete wavelet transforms; feature extraction; image coding; image resolution; image sequences; spread spectrum communication; copyright protection; digital images; discrete wavelet transform; human visual system; multiresolution watermarking method; noise type Gaussian sequence; normalized correlation function; spread spectrum watermarking schemes; wavelet domain; Copyright protection; Digital images; Discrete wavelet transforms; Gaussian noise; Humans; Image resolution; Noise robustness; Spread spectrum communication; Watermarking; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-0778-1

Electronic_ISBN

978-1-4244-1779-8

Type

conf

DOI

10.1109/ISSPA.2007.4555430

Filename

4555430