A Watermark Extraction Model to Enhance the Correlation of Digimarc Plug-ins in Photoshop

Author

Li, Li ; Xu, Hehuan ; Cheng, Chin Chen

Author_Institution

Inst. of Graphics & Image, Hangzhou Dianzi Univ., Hangzhou, China

Volume

2

fYear

2009

fDate

18-20 Nov. 2009

Firstpage

154

Lastpage

158

Abstract

Considering the watermark as a noise, a watermark extraction model is proposed in this paper to enhance the correlation of Digimarc plug-ins in photoshop. First, an estimation of the original image for a watermarked image is obtained by TV (total variation) denoising model based on the partial differential equation. Second, watermark noise information is obtained by subtraction between the watermarked image and the estimated one. Finally, the correlation of watermark can be improved by magnifying the watermark noise. The experimental results show that the new watermark extraction model can enhance the correlation of the Digimarc plug-ins although its watermarking method is unknown.

Keywords

feature extraction; image coding; partial differential equations; watermarking; partial differential equation; photoshop Digimarc plug-ins; total variation denoising model; watermark extraction model; watermark noise information; Authentication; Copyright protection; Data mining; Discrete cosine transforms; Gaussian noise; Graphics; Information security; Noise robustness; Software tools; Watermarking; Digimarc plug-ins; Photoshop; Robustness; digital watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Information Networking and Security, 2009. MINES '09. International Conference on

Conference_Location

Hubei

Print_ISBN

978-0-7695-3843-3

Electronic_ISBN

978-1-4244-5068-8

Type

conf

DOI

10.1109/MINES.2009.188

Filename

5368375