Improve robustness of image watermarking via adaptive receiving

Author

Kang, Xiangui ; Huang, Jiwu ; Shi, Yun Q.

Author_Institution

Dept. of Electron., Sun Yat-Sen Univ., China

Volume

4

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

2343

Abstract

Almost all the existing popular watermarking schemes model the watermarking channel noises as additive noise with zero-mean. However, our experiments show that this is not reasonable in the case of channel noise introduced by image filtering. This paper presents a new quantization-based watermarking scheme with enhanced robustness via adaptive receiving and turbo coding in addition to other measures. The present algorithm can successfully resist almost all the StirMark testing functions including both common signal processing and geometric distortions in StirMark 4.0 except for random distortion.

Keywords

AWGN channels; adaptive codes; filtering theory; image coding; quantisation (signal); turbo codes; watermarking; StirMark 4.0 testing function; adaptive receiving; additive channel noise; common signal processing; geometric distortion; image filtering; quantization-based image watermarking scheme; turbo coding; zero-mean; Adaptive signal processing; Additive noise; Distortion measurement; Filtering; Noise robustness; Resists; Signal processing algorithms; Testing; Turbo codes; Watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1421570

Filename

1421570