Could DCT Reveal Photorealistic Images?
| Autor: | Konstantinos Annousakis-Giannakopoulos, Athanassios N. Skodras, Dimitris Ampeliotis |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Digital forensics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Software rendering 020207 software engineering 02 engineering and technology Computer graphics Digital image 020204 information systems 0202 electrical engineering electronic engineering information engineering Discrete cosine transform Computer vision Artificial intelligence business Quantization (image processing) Ycbcr color space |
| Zdroj: | IISA |
| DOI: | 10.1109/iisa.2019.8900752 |
| Popis: | With the development of computer graphics rendering software, it has become extremely difficult to distinguish whether an image is computer generated or a natural one. Therefore, it is really important to device robust methods for correctly classifying these two categories of images. In this work, a new approach to face the above problem is developed that is based upon the discrete cosine transform (DCT) of an image, in the YCbCr color space. The statistical features extracted, have been tested in suitable databases and the remarkable results indicate that the proposed model has a great potential to be used in digital images forensics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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