Name
Abstract | ||
|---|---|---|
Many researchers have studied reversible data hiding techniques in recent years and most have proposed reversible data hiding schemes that guarantee only that the original cover image can be reconstructed completely. Once the secret data are embedded in the compression domain and the receiver wants to store the cover image in a compression mode to save storage space, the receiver must extract the secret data, reconstruct the cover image, and compress the cover image again to generate compression codes. In this paper, we present a reversible data hiding scheme based on side match vector quantization (SMVQ) for digitally compressed images. With this scheme, the receiver only performs two steps to achieve the same goal: extract the secret data and reconstruct the original SMVQ compression codes. In terms of the size of the secret data, the visual quality, and the compression rate, experimental results show that the performance of our proposed scheme is better than those of other information hiding schemes for VQ-based and SMVQ-based compressed images. The experimental results further confirm the effectiveness and reversibility of the proposed scheme |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TCSVT.2006.882380 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
reconstructed,steganography,side match vector quantization,reversible data,reversible data hiding,image coding,information hiding scheme,compression domain,side match vector quantization (smvq),image resolution,reversible data hiding scheme,vector quantisation,image reconstruction,data encapsulation,proposed scheme,compression code,original smvq compression code,cover image,compression mode,compression codes,compression rate,secret data extraction,secret data,visual quality,watermarking,computer science,information hiding,data mining,image restoration,vector quantization | Computer vision,Steganography,Data compression ratio,Digital watermarking,Computer science,Information hiding,Vector quantization,Artificial intelligence,Image restoration,Data compression,Image compression | Journal |
Volume | Issue | ISSN |
16 | 10 | 1051-8215 |
Citations | PageRank | References |
117 | 5.45 | 10 |
Authors | ||
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 |