Detecting Asymmetric Cropping Based on Camera Calibration
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摘要: 该文提出一种针对图像非对称裁剪的取证方法,算法通过相机标定的方法来估计主点位置,并根据主点的位置对图像中存在的非对称裁剪进行指证。该文根据图像取证需求改进了相机标定模型,通过选取不共面的规则图形作为标定物,实现了在不用对标定物进行测量和建模的前提下通过单幅图像对主点坐标进行估计。实验表明,该文提出的算法对非对称裁剪篡改具有较好的检测效果。Abstract: A new forensics method is proposed to detect asymmetric cropping. According to the method, the inconsistency of the principal point is used as evidence of cropping, and the camera calibration method is introduced to estimate the principal point. The camera calibration model is improved to meet the requirements of image forensics, in the new model, the target objects are selected from those regular figures on different planes, so the principal point coordinate can be estimated from a single image without modeling and measuring the target objects. Experiments show that the proposed method can identify asymmetric cropping of the image effectively.
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Key words:
- Image processing /
- Asymmetric cropping /
- Image integrity /
- Blind forensics /
- Camera calibration
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