Detecting digital image forgery in near-infrared image of CCTV
| Autor: | Heung-Kyu Lee, Jong-Uk Hou, Dai-Kyung Hyun, Jinseok Park, Do-Guk Kim |
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| Rok vydání: | 2016 |
| Předmět: |
Computer Networks and Communications
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Image processing 02 engineering and technology Image editing computer.software_genre Digital image Digital image processing 0202 electrical engineering electronic engineering information engineering Media Technology Computer vision Image resolution 021110 strategic defence & security studies business.industry Near-infrared spectroscopy Photography Light intensity Hardware and Architecture Computer Science::Computer Vision and Pattern Recognition RGB color model 020201 artificial intelligence & image processing Artificial intelligence business computer Software |
| Zdroj: | Multimedia Tools and Applications. 76:15817-15838 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-016-3871-7 |
| Popis: | The reliability of CCTV digital images is more important than the reliability of many other types of images. However, image editing tools such as Photoshop make this unreliable. CCTV uses two photography modes, the RGB mode and the near-infrared mode. While near-infrared images have different properties, such as a constant level of source light intensity, and a constant direction of the source light, there are no forensic techniques for near-infrared images. In this paper, we propose a forensic technique based on a constant direction of the source light. In order to expose splicing forgery in near-infrared images, we create an ideal near-infrared image model of a plane. We then calculate gradient vectors of the model and objects in images. Depending on the similarity of two vectors, the image is determined forged or not. This forensic technique helps to improve the reliability of near-infrared images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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