Context-modeled wavelet difference reduction coding based on fractional bit-plane partitioning
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Bibliographic record
Abstract
This paper presents a new embedded wavelet image compression algorithm that is based on the wavelet difference reduction (WDR) method developed by Tian and Wells. While WDR employs a fixed order on scanning of the coefficients in a wavelet pyramid, the proposed algorithm employs an adaptive scanning order that results from partitioning each bit-plane into multiple fractional bit-planes by exploiting intra-subband and inter-subband correlation. Arithmetic coding (AC) in WDR is avoided in the proposed coder, resulting in lower complexity. These approaches enable the proposed algorithm to be conceptually simple and outperform both WDR and SPIHT (without AC) by Said and Pearlman in a rate-distortion sense. The PSNR improvement over WDR ranges from 0.1 to 1.5 dB on the set of test images at various bitrates.
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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 | 0.001 |
| 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