Data Hiding and Distributed Source Coding

• Ç. Dikici, K. Idrissi, A.Baskurt

Data Hiding and Distributed Source Coding

• Data Hiding and Distributed Source Coding

• System Architecture

• Experiments

• Conclusion

Coding of multiple sources which can not communicate at the encoder

• Coding of multiple sources which can not communicate at the encoder

• Ultra-low encoding complexity
• Reduce power consumption

• Data hiding for each source signal

Wyner-Ziv, Gel'fand-Pinsker

• Wyner-Ziv, Gel'fand-Pinsker

• Ramchandran et al, « Duality between source coding and channel coding with SI », Asilomar99, ISIT00, 01

• Girod et al., « Duality between Channel Coding and Rate distortion with SI », Asilomar00

• Cover et al., « Duality Between Channel capacity and Rate distortion with two sided State Information », ITT02

Source Coding with SI (R01)

• Source Coding with SI (R01)

• Rate

Channel Coding with SI (Blind watermarking or C10)

• Channel Coding with SI (Blind watermarking or C10)

• Capacity

Channel Coding with SI (General solution Cgeneral)

• Channel Coding with SI (General solution Cgeneral)

• Capacity

A DSC system with data hiding

• A DSC system with data hiding

• Works well up to a certain correlation to noise ratio

• On sensor networks, each client can embed its specific data to the stream

• Will be extended to the multimedia data like image, and video