Name
Abstract | ||
|---|---|---|
Pixel-value-ordering (PVO) is an efficient technique of reversible data hiding (RDH). By PVO, the cover image is first divided into non-overlapping blocks with equal size. Then, the pixel values in each block are sorted in ascending order. Next, take the second largest/samllest pixel value as a prediction of the largest/samllest pixel value to derive two prediction errors. Finally, the data embedding is constructed by modifying the generated prediction errors of each block. After data embedding, the PVO of each block is unchanged, which guarantees the reversibility. Our key observation is that, in each block, the modification for the two prediction errors is independent without exploiting the correlation between them, although they are closely correlated with each other. In light of this, an improved PVO-based RDH method is proposed in this work. The two prediction errors of each block are considered as a pair, and the pairs are modified for data embedding based on adaptive two-dimensional histogram modification. The proposed method is experimentally verified better than the original PVO-based method and some of its improvements. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11554-019-00867-w | Journal of Real-Time Image Processing |
Keywords | Field | DocType |
Reversible data hiding, Pixel-value-ordering, Two-dimensional histogram, Pairwise embedding, Adaptive embedding | Pairwise comparison,Histogram,Computer vision,Embedding,Computer science,Information hiding,Algorithm,Correlation,Artificial intelligence,Pixel | Journal |
Volume | Issue | ISSN |
16 | 3 | 1861-8200 |
Citations | PageRank | References |
3 | 0.38 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haorui Wu | 1 | 9 | 1.47 |
| Xiaolong Li | 2 | 2264 | 114.79 |
| Yao Zhao | 3 | 1926 | 219.11 |
| Rongrong Ni | 4 | 718 | 53.52 |