A blind and readable watermarking technique for color images

Author

Caramma, M. ; Lancini, R. ; Mapelli, F. ; Tubaro, S.

Author_Institution

CEFRIEL, Milano, Italy

Volume

1

fYear

2000

fDate

2000

Firstpage

442

Abstract

The paper presents a wavelet domain watermarking technique for color images. The characteristics of this transform domain are well suited for masking consideration, due to its good localization in both space and frequency. The different color sensitivity can be exploited in order to increase the watermarking power, and therefore its reliability. Thanks to the multi-resolution nature of the discrete wavelet transform (DWT) the watermark detection can be obtained iteratively. The technique has been successfully evaluated against attacks such as JPEG and JPEG-2000 compression, filtering, cropping, dithering and digital to analog and analog to digital conversions

Keywords

analogue-digital conversion; copy protection; copyright; data compression; digital-analogue conversion; discrete wavelet transforms; image coding; image colour analysis; median filters; noise; signal detection; telecommunication security; transform coding; ADC; DAC; DWT; Internet; JPEG compression; JPEG-2000 compression; WWW; World Wide Web; analog to digital conversion; blind watermarking; color images; color sensitivity; cropping; digital to analog conversion; discrete wavelet transform; dithering; frequency localization; iterative watermark detection; masking; median filtering; multiresolution; readable watermarking; space localization; transform domain; watermarking reliability; wavelet domain watermarking; Analog-digital conversion; Color; Digital filters; Discrete transforms; Discrete wavelet transforms; Filtering; Frequency; Transform coding; Watermarking; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.900990

Filename

900990