| Autor: |
Siqing Luo, Di Wu, Shen Wang |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
2010 International Conference on Information, Networking and Automation (ICINA). |
| DOI: |
10.1109/icina.2010.5636969 |
| Popis: |
The confliction between image tampering and digital forensic has persisted for more than a decade. With powerful photo editing software, everyone can easily forge images by Copy-Paste operation. To eliminate the visual edge introduced by tampering, they may employ edge and region smoothing after the contents are manipulated or altered. This process often introduces disharmony between authentic regions and tampering regions. The traces of digital tampering can be detected by estimating the sharpness of the image regions. To remove the fragility of Copy-Paste operation, we proposed a genetic based algorithm to eliminate the blurring in the forgery image. After the processing, the sharpness of the blurred region is recovered and the image quality is preserved. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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