Implantable narrow band image compressor for capsule endoscopy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A low-complexity narrow band image compressor for wireless capsule endoscopy application is presented in this paper. The compression algorithm is based on a simplified RGB-YUV color space converter, differential pulse coded modulation (DPCM) followed by optimized Golomb-Rice coding. Based on the nature of the narrow band endoscopic images, several sub-sampling schemes on the chrominance components are applied. The compressor does not need any buffer memory and can be interfaced with image sensors which send pixels in raster-scan fashion. The proposed algorithm has compression ratio of 81% and high reconstruction peak-signal-to-noise-ratio , over 40 dB. The proposed compressor is implemented in 0.18μm CMOS technology and consumes 2K standard gates, 0.67 mm × 0.71 mm silicon area, and 42 μW of power when working at 2 frames-per-second.
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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 | 0.002 |
| Open science | 0.001 | 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