Recaptured Image Detection Through Enhanced Residual-Based Correlation Coefficients
| Autor: | Zhao Li, Nan Zhu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021110 strategic
defence & security studies Liquid-crystal display Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology Image detection Residual Image (mathematics) law.invention Correlation law 0202 electrical engineering electronic engineering information engineering Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence business |
| Zdroj: | Cloud Computing and Security ISBN: 9783030000202 ICCCS (6) |
| Popis: | With the rapid development of image display technology and digital acquisition device, recapturing the copies of images from LCD screens with high quality becomes rather convenient and easy. Such recaptured images post severe security threats in image credibility and bio-authentication. In order to alleviate such security problems, in this paper, we propose a simple yet effective method to detect the images recaptured from LCD screens based on enhanced residual-based correlation coefficients. Specifically, we first extract the blocks which contain only one edge with pre-defined criteria. Then, pixel-wise sharpness is used to enhance the discriminability of the extracted single-edge blocks. Finally, pixel-wise correlation coefficients in the residual of the enhanced single-edge blocks are adopted as features. Extensive experiments on three high-resolution and high-quality recaptured image databases demonstrate the superior of our proposed method when compared with the state-of-the-art approaches. |
| Databáze: | OpenAIRE |
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