LED Backlight Adjustment for Backward-Compatible Stereoscopic Display
Why this work is in the frame
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Bibliographic record
Abstract
It was recently shown that a high-speed optoelectronic display, via a novel signal processing technique called temporal psychovisual modulation (TPVM), can exhibit stereoscopic images to viewers wearing 3-D glasses and clean 2-D images to those without glasses all at the same time. This research aims to improve the above backward-compatible stereoscopy method by adjusting the backlight of today's common LED-lit liquid crystal display systems. Visual quality of the system can be enhanced by jointly optimizing the backlight intensity and the image signal at a negligible extra computational cost. For real-time applications of low-cost consumer electronics, this work also provides a low-complexity solution of backward-compatible stereoscopic display, in which highest 3-D quality is ensured with a small compromise of the 2-D quality.
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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