Linear Row and Column Predictors for the Analysis of Resized Images
| Type of publication: | Inproceedings |
| Citation: | kirchner-acm10 |
| Booktitle: | ACM Workshop on Multimedia and Security |
| Year: | 2010 |
| Pages: | 13-18 |
| Location: | Rome, Italy |
| Abstract: | This paper adds a new perspective to the analysis and detection of periodic interpolation artifacts in resized digital images. Instead of relying on a single, global predictor, we discuss how the specific structure of resized images can be explicitly modeled by a series of linear predictors. Characteristic periodic correlations between neighboring pixels are then measured in the estimated predictor coefficients itself. Experimental results on a large database of images suggest a superior detection performance compared to state-of-the-art methods. |
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| Added by: | [ADM] |
| Total mark: | 0 |
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