A Novel Decision Fusion Method for Image Forgery Localization
| Autor: | Xin-Hua Tang, Wei-Wei Zhang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Scheme (programming language)
021110 strategic defence & security studies business.industry Computer science Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology Digital image 020204 information systems 0202 electrical engineering electronic engineering information engineering Image forgery Decision fusion Computer vision Artificial intelligence business computer computer.programming_language |
| Zdroj: | 2018 37th Chinese Control Conference (CCC). |
| Popis: | To obtain more reliable localization performance, we propose a new image forgery localization scheme, which fuses the output of two diverse tools, based on PRNU and PatchMatch algorithm, respectively. First, tampering possibility maps are obtained from each of the two approaches, and then Dempster-Shafer theory of evidence is used as decision fusion strategy to obtain the final localization map. Comparison with single approach shows an improvement in tampering localization accuracy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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