Name
Title | ||
|---|---|---|
16-Bit DICOM Medical Images Lossless Hiding Scheme Based on Edge Sensing Prediction Mechanism |
Abstract | ||
|---|---|---|
Medical imaging is an important part of patient records. The pixel of a 16-depth DICOM image is totally different from the 8-bit depth nature image and is seldom the same as the other pixels in the nearby area. In this paper, we propose a reversible hiding method that expands Feng and Fan's prediction technique and adapts the scheme to match the characteristics of medical image. In the previous work, we determine what prediction method should be applied based on standard deviation thresholds to obtain more accurate prediction results. Finally, our approach includes embedding hidden information based on the histogram-shifting technique. The experimental results demonstrate that our approach achieves high-quality results. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-12286-1_19 | GENETIC AND EVOLUTIONARY COMPUTING |
Keywords | Field | DocType |
Medical imaging,Reversible data hiding,Standard deviation,Histogram shifting technique | Computer vision,DICOM,Embedding,Computer science,Medical imaging,16-bit,Pixel,Artificial intelligence,Standard deviation,Lossless compression | Conference |
Volume | ISSN | Citations |
329 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tzu-Chuen Lu | 1 | 374 | 33.17 |
| chun ya tseng | 2 | 0 | 1.01 |
| Chun-Chih Huang | 3 | 16 | 1.03 |
| Kuang-Mao Deng | 4 | 0 | 0.34 |
| 呂慈純 | 5 | 0 | 0.34 |