
With the exponential progression in communication technology, advanced mixed media content such as image, sound and video can be effectively duplicated and put away effortlessly without any loss in their original content. Therefore, it is distinctly critical to beat this and the need of a reasonable sort of copyright insurance framework inside the data. Reversible Data Hiding (RDH) keeps up the brilliant property that the first cover can be losslessly recouped after inserted information is separated while securing the picture substance's privacy. This may be liable to a few cause errors on information extraction and image reclamation. We propose to maintain the incredible property that the original cover has which can be losslessly recovered after embedded data is extracted while securing the image content's confidentiality. This strategy protects against different sorts of attacks on the computerized information and hence provides a robust answer for information theft cases.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
