<title>Artifact-free resizing using an optical method</title>
Bibliographic record
Abstract
Pixelated spatial light modulators (SLMs) are commonly used in projection displays. The total number of columns and rows in the device define its `native' resolution. This native resolution may not match the resolution of the signal that is to be displayed. It is common to use electronic methods to re-scale the signal to match the resolution of the panel. This resizing introduces artifacts that may be unacceptable in some applications. A new technique is described using optical methods to obtain an artifact free representation of the signal. This method works particularly well with high- resolution 1.8' diagonal devices where the signals to be displayed have equal or lesser resolution than the SLM. The system requires a zoom illumination system and a zoom projection lens. Information is sent to a sub-area of the panel that matches the native resolution of the signal. The zoom illumination system concentrates the total light flux onto this sub-area. A zoom projection lens adjusts the size of the final image to be constant.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.138 | 0.061 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".