Title :
Watermarking for Compressive Sampling Applications
Author :
Huang, Hsiang-Cheh ; Chang, Feng-Cheng ; Wu, Chun-Hsien ; Lai, Wei-Hao
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
Abstract :
Compressive sampling is a newly developed topic in the field of data compression. For current researches, compressive sampling techniques focus on compression performances. There are very few papers aiming at the integration of watermarking into compressive sampling systems. In this paper, we propose an innovative scheme that considers the copyright protection of data with compressive sampling. By carefully utilizing the relationships between coefficients, very few amounts of transmitted coefficients are capable of reconstructing the image to some extent. Moreover, secret information embedded beforehand can be recovered with acceptable rate in correctly extracted bits even experiencing through the lossy channels for data delivery. Simulation results with our algorithm have demonstrated the effectiveness for integrating watermarking into compressive sampling systems.
Keywords :
compressed sensing; copyright; data compression; data privacy; image reconstruction; image sampling; image watermarking; compressive sampling applications; data compression; data copyright protection; data delivery; image reconstruction; innovative scheme; lossy channels; secret information; watermarking; Image coding; Image quality; Image reconstruction; PSNR; Propagation losses; Robustness; Watermarking; compressive sampling; copyright protection; image quality; robustness; watermarking;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on
Conference_Location :
Piraeus
Print_ISBN :
978-1-4673-1741-2
DOI :
10.1109/IIH-MSP.2012.60