A Study of Image Forensics Using Sensor Pattern Noise and Camera Response Function
碩士 === 國立清華大學 === 資訊工程學系 === 95 === This thesis studies image forensics based on sensor pattern noise and camera response function features from imaging process. We discuss these two features separately. For sensor pattern noise, we present a new feature representation in the probability space which...
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| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/78282341150557595302 |
| Summary: | 碩士 === 國立清華大學 === 資訊工程學系 === 95 === This thesis studies image forensics based on sensor pattern noise and camera response function features from imaging process. We discuss these two features separately. For sensor pattern noise, we present a new feature representation in the probability space which is modeled by a previous work. We also adopt this feature representation in an application of camera source identification to achieve much satisfying result comparing with the previous work. Through the experiments, we know the sensor noise pattern is distinguishable even cameras from the same model or images with low resolution. For camera response function, we experimentally show the camera response function can be a biometric evidence of a camera. Based on the nonlinearity around the edge colors in RGB domain, we also use a linearity measurement as a feature and show an application on camera source identification based on the proposed feature.
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