Dual VDD block based CMOS image sensor - preliminary evaluation
Bibliographic record
Abstract
An image sensor with dual power supply of 1.8V and 1.1V is proposed. The sensor works on blocks of 8×8 pixels and the power supply for each block is selected according to the estimated variance inside the block. For the blocks with large variance, 1.8V is chosen to achieve high imaging performance; otherwise, 1.1V is used to save power. Preliminary evaluation of the imager performance based on simulations for TSMC 0.18 μm CMOS technology is given. The estimated amount of power saved by the proposed imager varies from image to image. Theoretically, up to 37% of power can be saved for images with predominant background, while no noticeable quality degradation of the reconstructed pictures after compression and decompression is perceived (PSNR reduced by less than 1.5 dB).
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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) | 0.002 | 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".