Name
Abstract | ||
|---|---|---|
As the popularity of three dimensional video, security of stereo image has become an evident issue to be solved. This paper presents a disparity based stereo image reversible data hiding by using histogram shifting, which can recover the original stereo image from marked stereo image without any distortion. Inter-correlations between left and right views of stereo image are utilized to predict pixels accurately. Then prediction error bins are constructed, and many points are around zero-valued bin for embedding data with low distortion of stereo images. The zero-valued bin is used twice to embed data, so that embedding capacity can reach more than 1 bit per pixel. Experimental results demonstrate that the proposed method outperforms the extended stereo image data hiding methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7026111 | ICIP |
Keywords | Field | DocType |
video signal processing,reversible data hiding,histogram shifting,prediction error bins,zero-valued bin,stereo image,disparity,disparity based stereo image reversible data hiding,data encapsulation,three dimensional video,stereo image processing | Histogram,Computer vision,Embedding,Bin,Pattern recognition,Computer science,Information hiding,Artificial intelligence,Pixel,Distortion,Stereo image,Computer stereo vision | Conference |
ISSN | Citations | PageRank |
1522-4880 | 1 | 0.35 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ting Luo | 1 | 33 | 9.06 |
| Gangyi Jiang | 2 | 865 | 105.98 |
| Mei Yu | 3 | 542 | 86.20 |
| Feng Shao | 4 | 603 | 72.75 |
| Zongju Peng | 5 | 276 | 57.69 |