Name
Abstract | ||
|---|---|---|
Since side match vector quantization (SMVQ) provides better image quality of reconstructed image and compression bit rate than vector quantization (VQ) does, it becomes another choice to compress the transmitting images when the bandwidth is limited. To expand the cover media for transmitting confidential information, we propose a novel data hiding scheme which embeds secret data into the SMVQ-compressed image. In terms of the payload capacity, the visual quality, and the compression rate, experimental results confirm that the performances of our scheme are better than that of other information hiding schemes for VQ-based and SMVQ-based compressed images. In addition, the embedded secret data can be extracted from the stego-image without referencing the original cover image. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/3-540-32391-0_25 | SOFT COMPUTING AS TRANSDISCIPLINARY SCIENCE AND TECHNOLOGY |
Keywords | Field | DocType |
information hiding,data hiding,image quality | Computer vision,Data compression ratio,Pattern recognition,Computer science,Information hiding,Bit rate,Image quality,Vector quantization,Bandwidth (signal processing),Artificial intelligence,Payload,Fold (higher-order function) | Conference |
ISSN | Citations | PageRank |
1615-3871 | 0 | 0.34 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chin Chen Chang | 1 | 7849 | 725.95 |
| Wei-Liang Tai | 2 | 733 | 36.91 |
| Chia Chen Lin | 3 | 924 | 65.18 |