Error modeling method and device for prediction context of reversible image watermarking
US11321796B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2018 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Apr 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2201/0203
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure discloses an error modeling method and device for prediction context of reversible image watermarking. A predictor based on omnidirectional context is established; then, the prediction context is self-adaptively error modeled to obtain a self-adaptive error model; and finally, output data from the self-adaptive error model is fed back to the predictor to update and correct the prediction context, so as to correct a prediction value of a current pixel x[i,j]. Since the non-linear correlation between the current pixel and the prediction context thereof, i.e., the non-linear correlation redundancy between pixels can be found by the error modeling of the prediction context of the predictor, the non-linear correlation redundancy between the pixels can be effectively removed. Thus, the embeddable watermarking capacity can be increased.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.