A Data Hiding Method based on Multi-predictor and Pixel Value Ordering

Pixel Value Ordering (PVO) is a commonly-used method for reversible data hiding. PVO divides a cover image into non-overlapping blocks and the minimum and maximum values in a block are used to embed the secret data. The visual quality and embedding capacity of the PVO method is closely related to the size of the blocks. Thus, the proposed data hiding method utilizes the modified prediction methods and integrates with Ou and Kims method to improve the performance of the visual quality and embedding capacity. Pixel prediction not only can be used in restoring missing pixels but can also be utilized to realize data embedding. The proposed method adopts the MED, NMI, INP, and CRS pixel prediction methods to embed the secret data, because we found that different pixel prediction methods can provide different information.