A Robust Watermarking Algorithm Based on RadonTransform and Multiple-Level Discrete Cosine Transform
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The contourlet transform and 'Multiple-level'concept is introduced from Discrete Wavelet Transform to Discrete Cosine Transform,and traditional watermarking methods in DCT domain are insufficient to resist rotation geometric attacks that is analyzed and improved.A digital watermarking algorithm is proposed based on radon transform and multiple-level Discrete Cosine Transform.In the proposed algorithm,firstly the watermark information is embedded in the selected coefficients of multiple-level Discrete Cosine Transform.Using Radon transform detection algorithm to correct the text image,then watermark information is extracted.Experimental results show that the proposed algorithm has better robustness compared with common digital watermarking algorithms based on DCT,and its real-time property is not affected by the multiple-level transform.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it