A Mulitiple-Exposure, Linear Response, Wide-Dynamic-Range CMOS Image Sensor Combining Electric-charge Voltage Conversions in Pixel Capacitor and Column Capacitor
Bibliographic record
Abstract
We discuss the operation methods for keeping a high S/N ratio at all switching points in multiple exposures and for shorting the total integration time of a wide dynamic range (DR) lateral overflow integration capacitor (LOFIC) CMOS image sensor that combines electric-charge voltage conversions in a pixel and a column capacitor. We have used these methods on a color LOFIC CMOS image sensor. This sensor had a pixel pitch of 5.6-um and the number of effective pixels was 800 (H) x 600 (V). It was made by using 0.18-um 2P3M CMOS technology. Fully linear responses were obtained, as well as a DR of 207 dB. Furthermore, the S/N ratio was 26-dB for the image of 18% gray card at all the switching points between the multiple exposures. The total exposure time was1/13-sec and was obtained by three photoelectric conversion operations at FD and LOFIC capacitors and one photoelectric conversion operation in the column capacitor.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".