A perceptual model for JPEG applications based on block classification, texture masking, and luminance masking
Why this work is in the frame
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Bibliographic record
Abstract
A perceptual model based on the texture masking and luminance masking properties of the human visual system is presented in this paper. The model computes a local multiplier map for scaling of the JPEG quantization matrix. The result is that fewer bits are used to represent the perceptually less important areas of the image. The texture masking model is based on a block classification algorithm to differentiate between the plain, edge, and texture blocks. An adaptive luminance masking scheme is used to adjust the luminance masking strategy depending on the image's mean luminance value. An adaptive JPEG coder based on the perceptual model is implemented. Experimental results show that the adaptive coder provides savings in bit-rate over baseline JPEG, with no overall loss in perceptual quality according to a subjective test.
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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 | 0.000 |
| 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 it