Name
Title | ||
|---|---|---|
An efficient authentication method for AMBTC compressed images using adaptive pixel pair matching. |
Abstract | ||
|---|---|---|
The existing image authentication methods for absolute moment block truncation coding (AMBTC) modify the bits of quantitation levels or bitmaps to embed the authentication code (AC). However, the modification of the bits in these methods is equivalent to the LSB replacement, which may introduce undesirable distortions. Besides, the modification of bitmap for embedding AC reduces the image quality significantly, especially at image edges. Moreover, the existing methods might not be able to detect some special modifications to the marked image. In this paper, we propose an efficient authentication method for the AMBTC compressed image. AC is obtained from the bitmap and the location information, and is embedded into the quantization levels using the adaptive pixel pair matching (APPM) technique. Since the bitmap is unchanged and the APPM embedment is efficient, a high image quality can be achieved. The experimental results reveal that the proposed method not only significantly reduces the distortion caused by embedding but also provides a better authentication result when compared to the prior state-of-art works. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11042-017-4899-z | Multimedia Tools Appl. |
Keywords | Field | DocType |
AMBTC, Image authentication, Adaptive pixel pair matching, APPM | Computer vision,Authentication,Block Truncation Coding,Computer science,Image quality,Pixel,Artificial intelligence,Bitmap,Quantization (signal processing),Distortion,Least significant bit | Journal |
Volume | Issue | ISSN |
77 | 4 | 1380-7501 |
Citations | PageRank | References |
3 | 0.41 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wien Hong | 1 | 618 | 30.63 |
| Meijin Chen | 2 | 7 | 0.79 |
| Tungshou Chen | 3 | 1082 | 89.79 |
| Chien-Che Huang | 4 | 4 | 1.10 |