Copyright protection scheme for still images based on an image pinned field

Mn-Ta Lee; Hsuan-Ting Chang

doi:10.1117/1.3488044

1 September 2010 Copyright protection scheme for still images based on an image pinned field

Mn-Ta Lee, Hsuan-Ting Chang

Author Affiliations +

Optical Engineering, Vol. 49, Issue 9, 097005 (September 2010). https://doi.org/10.1117/1.3488044

Abstract

Watermark embedding processes usually result in some degradation of the digital multimedia contents. Hence, they are not suitable for valuable and sensitive digital multimedia contents. Therefore, schemes combining signature with digital watermarking-like techniques have been proposed. Based on the general model for these combined schemes, a new scheme for image copyright protection by utilizing the pinned field of the protected image is proposed in this paper. The pinned field explores the texture information of the images and can be used to enhance the watermark robustness. Experimental results show that the proposed scheme works well under different signal-processing and geometric transformation attacks. On the other hand, in comparison with related schemes in the literature, our proposed scheme also has better performance. Furthermore, the proposed scheme is robust to both JPEG lossy compression and additive Gaussian noise.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Mn-Ta Lee and Hsuan-Ting Chang "Copyright protection scheme for still images based on an image pinned field," Optical Engineering 49(9), 097005 (1 September 2010). https://doi.org/10.1117/1.3488044

Published: 1 September 2010

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