Wavelet-Based Video Denoising Using Gauss-Hermite Density Function
Why this work is in the frame
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Bibliographic record
Abstract
A new wavelet-domain video denoising scheme is proposed that exploits the Gauss-Hermite probability density function (p.d.f.) for spatial filtering of the noisy frame wavelet coefficients. It is observed that the proposed p.d.f. matches the empirical one very well as compared to other conventional density functions such as the generalized Gaussian and Bessel K-form densities. The proposed p.d.f. is used in an approximate minimum mean square error estimator for spatial filtering. Temporal filtering of a video sequence is performed by a motion detector and recursive time-averaging. Simulation results on standard video sequences show improved performance both in visual quality and in terms of peak signal-to-noise ratio as compared to other recent video denoising methods.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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