Literature Review on Digital Image Watermarking

Digital image watermarking is the technology that is used in information security applications like digital image content protection and copyright protection. In this paper, a brief review of literature on digital image watermarking is presented. Watermarking algorithms can be classified based on different criterions. Depending upon the specific application, watermarking algorithm should satisfy certain requirements. Important parameters used to measure the quality of watermarking are Peak Signal to Noise Ratio (PSNR) and Normalized Cross Correlation (NCC). PSNR represents visual quality of the watermarked image. NCC indicates the visual quality of extracted watermark. For comparing the performance of different watermarking algorithms, PSNR and NCC values against various attacks are measured.

[1]  Ahmet M. Eskicioglu,et al.  A DFT-BASED SEMI-BLIND MULTIPLE WATERMARKING SCHEME FOR IMAGES , 2004 .

[2]  Yanqun Zhang,et al.  Digital Watermarking Technology: A Review , 2009, 2009 ETP International Conference on Future Computer and Communication.

[3]  Gonzalo R. Arce,et al.  A class of authentication digital watermarks for secure multimedia communication , 2001, IEEE Trans. Image Process..

[4]  Yong Liang Guan,et al.  Watermarking of streaming video for finger-printing applications , 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

[5]  Gary Friedman,et al.  The trustworthy digital camera: restoring credibility to the photographic image , 1993 .

[6]  Jiying Zhao,et al.  An Image Quality Evaluation Method Based on Digital Watermarking , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  S. Katzenbeisser,et al.  A survey of steganographic techniques , .

[8]  Christoph Busch,et al.  Digital Watermarking: From Concepts to Real-Time Video Applications , 1999, IEEE Computer Graphics and Applications.

[9]  Zhang Dinghui,et al.  Researches on Digital Image Watermarking , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[10]  Lakhmi C. Jain,et al.  Intelligent Watermarking Techniques: (With CD-ROM) , 2004 .

[11]  Lie Lu,et al.  Learning a music similarity measure on automatic annotations with application to playlist generation , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[12]  Frank Hartung,et al.  Multimedia watermarking techniques , 1999, Proc. IEEE.

[13]  Kannan Ramchandran,et al.  Capacity issues in digital image watermarking , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[14]  Lakhmi C. Jain,et al.  Intelligent Watermarking Techniques (Innovative Intelligence) , 2004 .

[15]  Mohan S. Kankanhalli,et al.  Watermarking of Electronic Text Documents , 2002, Electron. Commer. Res..

[16]  U. C. Niranjan,et al.  Watermarking medical images with patient information , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[17]  Patrick Waelbroeck,et al.  Piracy of digital products: A critical review of the theoretical literature , 2006, Inf. Econ. Policy.