Loading...
Please wait, while we are loading the content...
Similar Documents
An Embedding Strategy Using Q-Ary Convolutional Codes for Large and Small Payloads
| Content Provider | MDPI |
|---|---|
| Author | Wang, Jyun-Jie Lin, Chi-Yuan Yang, Sheng-Chih Chang, Hsi-Yuan Lin, Yin-Chen |
| Copyright Year | 2021 |
| Description | Matrix embedding (ME) code is a commonly used steganography technique, which uses linear block codes to improve embedding efficiency. However, its main disadvantage is the inability to perform maximum likelihood decoding due to the high complexity of decoding large ME codes. As such, it is difficult to improve the embedding efficiency. The proposed q-ary embedding code can provide excellent embedding efficiency and is suitable for various embedding rates (large and small payloads). This article discusses that by using perforation technology, a convolutional code with a high embedding rate can be easily converted into a convolutional code with a low embedding rate. By keeping the embedding rate of the (2, 1) convolutional code unchanged, convolutional codes with different embedding rates can be designed through puncturing. |
| Starting Page | 1577 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math9131577 |
| Journal | Mathematics |
| Issue Number | 13 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-04 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Telecommunications Q-ary Codes Matrix Embedding Optimal Design Maximum Decoding Convolutional Codes |
| Content Type | Text |
| Resource Type | Article |
