Digital watermarking based on pixels modification using adaptive Gaussian filter in lab color space

Alisa Songputtipong; Thumrongrat Amornraksa

doi:10.1117/12.913440

30 September 2011 Digital watermarking based on pixels modification using adaptive Gaussian filter in lab color space

Alisa Songputtipong, Thumrongrat Amornraksa

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82851S (2011) https://doi.org/10.1117/12.913440
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

This paper presents the digital watermarking based on modification of image pixels with two new concepts to enhance the accuracy of extracted watermark. First, the watermark is embedded into a new embedding channel, having a lower pixels variation in the CIELab color space. Second, adaptive Gaussian Filter is implemented with the original pixel prediction in the watermark extraction process. With our proposed method, the performance of the watermarking scheme can be improved. Sets of experiment are carried out to verify our concepts. The results show the improved performance in terms of NC, at equivalent quality of watermarked image, compared to previous methods. The results also show the improved robustness against various types of attack.

Citation Download Citation

Alisa Songputtipong and Thumrongrat Amornraksa "Digital watermarking based on pixels modification using adaptive Gaussian filter in lab color space", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851S (30 September 2011); https://doi.org/10.1117/12.913440

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