ADAPTIVE IMAGE FUSION ALGORITHM FOR INFRARED AND VISIBLE LIGHT IMAGES BASED ON DT-CWT
Why this work is in the frame
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Bibliographic record
Abstract
Aiming at the characteristics of low visible light images and infrared images,a novel adaptive image fusion scheme based on DT-CWT was presented.The technique has good shift-invariance and directional selectivity,and is more suitable for human vision.The DT-CWT was firstly used to perform a multiresolution decomposition of source images.By taking advantage of the characters of the coefficients,the immune clonal selection algorithm was introduced in low-pass subbands and almost optimal fused weights were obtained adaptively.To high-pass subbands,the local directive contrast was defined,which was based on human visual system.And then the contrast of fused images was enhanced and the detail information of source images was protected.The experimental results show that our fused technique is effective and the fused images have a better visual quality than their wavelet counterparts.
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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