A robust blind watermarking method using quantization of distance between wavelet coefficients

Sedigheh Ghofrani; Mohammad Javad Sahraee

doi:10.1117/12.913409

30 September 2011 A robust blind watermarking method using quantization of distance between wavelet coefficients

Sedigheh Ghofrani, Mohammad Javad Sahraee

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82851A (2011) https://doi.org/10.1117/12.913409
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

In this paper, we propose a robust blind watermarking algorithm based on quantization of distance between wavelet coefficients for copyright protection. We divide wavelet coefficients into some blocks and obtain the first, second, and third maximum coefficients in each block. Then we do quantization between the first, and second maximum coefficients according to binary watermark bits, which effectively makes watermark to be resist against attacks. Also, we need neither the original image nor watermark to extract the embedded watermark by using the block-based watermarking method. The algorithm as a watermarking system has appropriate performance duo to imperceptibility. In addition, experimental results also show that the proposed method is quite robust under either non-geometry or geometry attacks.

Citation Download Citation

Sedigheh Ghofrani and Mohammad Javad Sahraee "A robust blind watermarking method using quantization of distance between wavelet coefficients", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851A (30 September 2011); https://doi.org/10.1117/12.913409

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