Project Title: Robust Digital Watermarking
 
 Team members : Sangoh Jeong   < sojeong@stanford.edu > 
        	       Kihyun Hong    < khong@stanford.edu >
       
 
   In the past decade there has been an explosion in the use and 
 distribution of digital multimedia data. And the copyright for 
 digital multimedia data has become important, which brought about
 so-called 'digital watermark' as a solution to protect ownership.
 These days, various methods to make the digital watermark robust
 are being focused on.
 
   The goal of our project is basically to investigate and to compare 
 existing several important robust watermarking techniques. As a
 watermark-embedding technique, the correlation-based transform domain
 method will mainly be focused on. Since the DCT is most important due
 to its widespread use in image and video compression standards such as
 JPEG, MPEG-2 and MPEG-4, we will dig into the DCT-based embedding
 techniques such as middle band insertion and image dependent algorithms.
 In order to test the robustness of the algorithms, simple attacks such
 as filtering, JPEG compression, rotation, resizing and cropping will 
 be exploited. It could be done using a well-known 'StirMark' software
 to do more complex attacks. As a detection method, a block-based 
 detection algorithm will be employed to increase the robustness in the
 detection process.
  
   We also expect that we can do some sort of new trials while we 
 proceed our project, if time is allowed. A state-of-the-art attack 
 such as the remodulation attack and the copy attack could be tried, or
 the block-based detection algorithm could be more refined to increase
 existing level of robustness.
 
 
 References :
 
 [1] I. J. Cox, J. Kilian, F.T.Leighton, and T. Shamoon, "Secure Spread 
 Spectrum Watermarking for Multimedia", IEEE Trans. Image Proc., Vol. 6,
 No. 12, Dec. 1997.
 
 [2] F. Hartung, J.K. Su and B. Girod, "Spread Spectrum Watermarking:
 Malicious Attacks and Counter-Attacks", in Proc. SPIE 3657: Security and
 Watermarking of Multimedia Contents, San Jose, CA, January, 1999.
 
 [3] R.B. Wolfgang, C.I. Podilchuk, and E.J. Delp, "Perceptual watermarks
 for digital images and video", Proc.IEEE, vol.87, July 1999