Name
Abstract | ||
|---|---|---|
Watermarking of medical images greatly helps to provide authentication for safe storage and transmission of image databases. Though proper methodologies for indexing the medical images would provide faster retrieval performance, the problems have not been greatly addressed in the literature. This paper presents a review on image watermarking algorithms for indexing medical images. We have attempted at embedding and extraction of both visible and invisible watermarking algorithms over a set of 23 patient's lung images. Results obtained establish the need for watermarking algorithms which show enhanced embedding as well as extraction performance for meeting the medical image indexation requirements. |
Year | Venue | Keywords |
|---|---|---|
2018 | INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY | Lung CT image, visible watermarking, invisible watermarking, watermark embedding, watermark extraction |
Field | DocType | Volume |
Digital watermarking,Pattern recognition,Computer science,Search engine indexing,Artificial intelligence | Journal | 15 |
Issue | ISSN | Citations |
4 | 1683-3198 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| I. Jasmine Selvakumari Jeya | 1 | 0 | 0.34 |
| J. Suganthi | 2 | 0 | 0.34 |