IMDetector is a Python module for image manipulation detection.
We are also developing a GUI application.
- 代表的な画像不正に対応
- 画像の再利用、コピー＆ペーストの検出
- 明るさやコントラストの過度な調整、塗りつぶしの検出
- 生命科学論文の画像の検査に特化
- ゲル画像や顕微鏡画像などの（風景や人物の画像と比べて）シンプルな画像に特化した再利用検出手法
- 誰でも自由に利用可能
- 画像をアップロードするだけ
- フリーアプリケーション
- Alahmadi, A., Hussain, M., Aboalsamh, H., Muhammad, G., Bebis, G., & Mathkour, H. (2017). Passive detection of image forgery using DCT and local binary pattern. Signal, Image and Video Processing, 11(1), 81–88. https://doi.org/10.1007/s11760-016-0899-0
- Lee, P., West, J. D., & Howe, B. (2018). Viziometrics: Analyzing Visual Information in the Scientific Literature. IEEE Transactions on Big Data, 4(1), 117–129. https://doi.org/10.1109/TBDATA.2017.2689038
- Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision. https://doi.org/10.1023/B:VISI.0000029664.99615.94
- Riffle, M., & Davis, T. N. (2010). The yeast resource center public image repository: A large database of fluorescence microscopy images. BMC Bioinformatics, 11. https://doi.org/10.1186/1471-2105-11-263
- Rublee, E., Rabaud, V., Konolige, K., & Bradski, G. (2011). ORB: An efficient alternative to SIFT or SURF. In 2011 International Conference on Computer Vision (pp. 2564–2571). IEEE. https://doi.org/10.1109/ICCV.2011.6126544
- Zhang, Q., Lu, W., Wang, R., & Li, G. (2018). Digital image splicing detection based on Markov features in block DWT domain. Multimedia Tools and Applications, 77(23), 31239–31260. https://doi.org/10.1007/s11042-018-6230-z
- Zhu, Y., Shen, X., & Chen, H. (2016). Copy-move forgery detection based on scaled ORB. Multimedia Tools and Applications, 75(6), 3221–3233. https://doi.org/10.1007/s11042-014-2431-2
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