Novel and robust saturation watermarking in wavelet domains for color images

Ping Sheng Huang; Chung-Shi Chiang

doi:10.1117/1.2128416

1 November 2005 Novel and robust saturation watermarking in wavelet domains for color images

Ping Sheng Huang, Chung-Shi Chiang

Author Affiliations +

Optical Engineering, Vol. 44, Issue 11, 117002 (November 2005). https://doi.org/10.1117/1.2128416

Abstract

Human visual systems are insensitive to slight saturation changes in a color image. This paper presents a novel watermarking approach by hiding grayscale logos in the saturation component of color images. The embedding procedures are first performed in the DWT domains of the achromatic component. Then a proposed technique of saturation adjustment is applied to redirect the marks into the saturation component. To improve the detection robustness, we propose an adaptive weighting scheme to fuse the extracted watermarks in the extraction stage. Experimental results demonstrate that the proposed approach can successfully make the watermark perceptually invisible and robust to image-processing operations such as low-pass filtering, JPEG, scaling and cropping under StirMark, and JPEG-2000. Robustness can be provided in the applications of copy protection and digital archives.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Ping Sheng Huang and Chung-Shi Chiang "Novel and robust saturation watermarking in wavelet domains for color images," Optical Engineering 44(11), 117002 (1 November 2005). https://doi.org/10.1117/1.2128416

Published: 1 November 2005

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available