Compression Effects of JPEG and JPEG2000 on Temporal-Bone Images
Bibliographic record
Abstract
The efficient compression of medical images is important for improved storage and network utilization. The Joint Photographic Experts Group (JPEG) baseline compression algorithm has been widely used in medical image compression. In contrast, JPEG2000 is a relative new compression standard. The purpose of this study is to provide a quantitative comparison of JPEG and JPEG2000 compression effects on temporal-bone images. Three types of images are investigated – x-ray microCT, orthogonal-plane fluorescence images (OPFI) and histology images. The image quality with different compressed ratios is evaluated by Peak Signal-to-Noise Ratio (PSNR). The study shows that for our grey-scale images, JPEG2000 compression is superior to JPEG for lossy compression with both high compression ratio (1:64) and low compression ratios (1:4 and 1:8). In the middle range of compression ratios (1:16 – 1:32), JPEG and JPEG2000 have the same effects. For our colour histology images, JPEG2000 is superior to the JPEG at all tested compression ratios.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".