Multiple description image coding using pixel interleaving and wavelet 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
Multiple description coding encodes a source image into two or more mutually refinable bitstreams to overcome channel impairments. When one or more channels fail, received bitstream(s) are decoded to provide a lower but acceptable quality of the reconstructed image. This paper proposes a multiple description image coding scheme using pixel interleaving by taking advantage of the intrinsic correlation of the adjacent pixels. We improve substantially the performance of the reconstructed image from multiple descriptions by compromising to some extent the performance of the reconstructed from a single description. This is achieved by incorporating the wavelet transform into the pixel interleaving-based encoder so as to provide the ability to trade off the quantizations of the frequency coefficients and the spatial pixels. Simulations are presented to demonstrate the effectiveness of the proposed schemes.
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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 | 0.002 |
| 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