Detecting Resized JPEG Images by Analyzing High Frequency Elements in DCT Coefficients
| Type of publication: | Inproceedings |
| Citation: | yamasaki_matsunami_aizawa_iihmsp10 |
| Booktitle: | International Conference on Intelligent Information Hiding and Multimedia Signal Processing |
| Year: | 2010 |
| Pages: | 567-570 |
| Location: | Darmstadt, Germany |
| Abstract: | In this paper, we propose a method for detecting resized JPEG images. We defined 8×8 periodic blocks as JPEG blocks. JPEG block boundaries are detected by applying 8×8 block discrete cosine transform (DCT) to all the pixels of the input image and analyzing the high frequency coeffi- cients in them. In order to quantitatively analyze the degree of forgery, we have developed two approaches such as truth- score and correlation-score methods. Experimental results using 375 original (untouched) JPEG images and 2,250 resized images recompressed with a variety of quality factors demonstrated that our proposed method can classify them with over 90% of accuracy. Our proposed method can detect not only conventional resizing but also state-of-the-art non-linear resizing such as seam carving. |
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| Added by: | [ADM] |
| Total mark: | 0 |
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