Information theory applications in error bit rate analysis of digital image watermarking

Authors:
Fan Zhang;Xinhong Zhang;Kui Cao;Duoyi Li;Congcong Li
Affiliations:
Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475001, China and College of Computer and Information Engineering, Henan University, Kaifeng 475001, China;Computing Center, Henan University, Kaifeng 475001, China;Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475001, China;Department of Electronic Science and Engineering, Nanjing University, Nanjing 210008, China;College of Computer and Information Engineering, Henan University, Kaifeng 475001, China
Venue:
Computers and Electrical Engineering
Year:
2013

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Abstract

An error bit rate (EBR) analysis of digital image watermarking is proposed based on information theory. The relationship between watermarking capacity and EBR is also discussed. Two watermarking communication models are established for the EBR analysis of digital image watermarking. In the watermarking communication models, channel coding is introduced to transmit digital watermark in the watermarking channel. Another concept, watermark payload capacity, is introduced. EBR of watermarking will keep a lower lever if its payload capacity is less than the channel capacity.