A Fault-Tolerant Active Pixel Sensor to Correct In-Field Hot-Pixel Defects
Bibliographic record
Abstract
Solid-state image sensors develop in-field defects in all common environments. Experiments have demonstrated the growth of significant quantities of hot-pixel defects that degrade the dynamic range of an image sensor and potentially limit low-light imaging. Existing software- only techniques for suppressing hot-pixels are inadequate because these defective pixels saturate at relatively low illumination levels. The redundant fault-tolerant active pixel sensor design is suggested to isolate point-like hot-pixel defects. Emulated hot-pixels have been induced in hardware implementations of this pixel architecture and measurements of pixel response indicate that it generates an accurate output signal throughout the sensor's entire dynamic range, even when standard pixels would be otherwise saturated by the hot defect. A correction algorithm repairs the final image by building a simple look-up table of illumination- response of a working pixel. In emulated hot-pixels, the true illumination value can be recovered with an error of plusmn5% under typical conditions.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".