Name
Abstract | ||
|---|---|---|
In digital era, privacy preservation and data size reduction are important issues and many applications handle them simultaneously. In this paper, authors introduce a novel application of reversible data hiding to protect privacy sensitive region in a color image while reducing its file size. The proposed work introduces entropy as a new performance criterion along with distortion, capacity for reversible data hiding. Evaluation metric of the proposed method is a file size of watermarked and losslessly compressed image. The proposed method preserves privacy and controls rise in image entropy by reversible data hiding. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11042-017-5230-8 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Entropy, Lossless compression, Privacy-preservation, Reversible data hiding | Computer vision,Computer science,Information hiding,Size reduction,File size,Artificial intelligence,Distortion,Color image,Lossless compression | Journal |
Volume | Issue | ISSN |
77 | 13 | 1380-7501 |
Citations | PageRank | References |
0 | 0.34 | 30 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| vaibhav b joshi | 1 | 4 | 2.13 |
| Mehul S. Raval | 2 | 10 | 6.47 |
| Minoru Kuribayashi | 3 | 23 | 19.55 |