Application of Blind Signal Processing in Image Watermarking Systems
- Resource Type
- Conference
- Authors
- Chen, Chuen-Yau; Lin, Cheng-Yuan; Zou, Yi-Ze; Hsiao, Hung-Ming; Chen, Yen-Ting
- Source
- 2020 International SoC Design Conference (ISOCC) SoC Design Conference (ISOCC), 2020 International. :195-196 Oct, 2020
- Subject
- Components, Circuits, Devices and Systems
Signal processing algorithms
Watermarking
Signal processing
Complexity theory
Covariance matrices
Time complexity
blind signal
bound component analysis
- Language
In this paper, an efficient blind signal processing algorithm called relative-gradient bound component analysis algorithm that combines the concepts of the relative-gradient approach and the bound-component analysis is applied to the image watermarking systems. Unlike to the other blind-signal-processing algorithms, neither the inverse matrix nor the covariance matrix is necessary to be computed in this one. It can successfully extract the embedded watermark without the whittling process. The time complexity and the space complexity of this algorithm are both lower than those of the original bound component analysis algorithm.