Image Self-Embedding Technology Research Based on Discrete Cosine Transform
| Autor: | Huang Qiangbo, Yu Shao-Jun, Che Shengbing, Che Zuguo |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Theoretical computer science
Image quality Computer science Quantization (signal processing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Vector quantization Data_CODINGANDINFORMATIONTHEORY Scrambling Least significant bit Discrete cosine transform Lapped transform Digital watermarking Algorithm Image compression |
| Zdroj: | 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing. |
| DOI: | 10.1109/nswctc.2009.163 |
| Popis: | Image compression operator based on discrete cosine transform was brought up. A securer scrambling locational operator was put forward based on the concept of anti-tamper radius. The basic idea of the algorithm is that it first combined image block compressed data with eigenvalue of image block and its offset block, then scrambled or encrypted and embeded them into least significant bit of corresponding offset block. This algorithm could detect and locate the tampered image block accurately. It could recover tampered block with good image quality when tamper occurred within the limits of the anti-tamper radius. It could effectively resist vector quantization and synchronous counterfeiting attacks on self-embedding watermarking schemes. |
| Databáze: | OpenAIRE |
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