{"id":"W1686453017","doi":"","title":"A united optimum images fusion based on analysis of color distortion","year":2004,"lang":"en","type":"article","venue":"Chinese Optics Letters","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Image fusion; Wavelet transform; Wavelet; Artificial intelligence; Wavelet packet decomposition; Pixel; Color space; Hue; Distortion (music); Computer science; Mathematics; Pattern recognition (psychology); Computer vision; Image (mathematics); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098557,0.0005913337,0.001334178,0.001108367,0.0006408277,0.001016701,0.0007366739,0.0008659163,0.001194224],"category_scores_gemma":[0.001834174,0.0005408528,0.001289066,0.001216858,0.0008460153,0.002260781,0.001353706,0.0007186398,0.0003939091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006483,"about_ca_system_score_gemma":0.0006818398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593499,"about_ca_topic_score_gemma":0.00128733,"domain_scores_codex":[0.998463,0.0002921346,0.00008644058,0.000373238,0.0006822526,0.000102933],"domain_scores_gemma":[0.9996186,0.00007816453,0.00004340705,0.00005478162,0.0001877786,0.00001724548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007369062,0.0001287163,0.001460381,0.0002419021,0.0003038902,0.0001927404,0.000381879,0.1309606,0.1201778,0.05869922,0.004727435,0.6819886],"study_design_scores_gemma":[0.00003478492,0.0001091832,0.0009700977,0.00001484615,0.00007604902,0.0003212544,0.0000417199,0.9450936,0.04071541,0.008701674,0.003851942,0.00006957041],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01126118,0.0003574645,0.9869371,0.00007214803,0.00003529397,0.00001826945,0.00001966589,0.0002190595,0.001079811],"genre_scores_gemma":[0.2844075,0.0005801507,0.7124978,0.00008278804,0.00006467739,0.00007458115,0.000120625,0.00009367284,0.002078296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001593499,"threshold_uncertainty_score":0.005809784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004527609379459866,"score_gpt":0.2286482974268282,"score_spread":0.2241206880473683,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}