{"id":"W2153334393","doi":"10.1109/tcsvt.2005.860938","title":"Temporal color video demosaicking via motion estimation and data fusion","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems for Video Technology","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Demosaicing; Artificial intelligence; Computer vision; Computer science; Color filter array; Bayer filter; Color image; Digital camera; RGB color model; Pixel; Image processing; Color gel; Image (mathematics)","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":[0.0006476868,0.0006117153,0.0005183472,0.0007363762,0.000251512,0.0004888813,0.0005994401,0.0004776405,0.0008083882],"category_scores_gemma":[0.001734244,0.0003389851,0.0006182498,0.000841914,0.0003747483,0.0009893111,0.0008587161,0.0004462864,0.0003238404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570826,"about_ca_system_score_gemma":0.000614149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752983,"about_ca_topic_score_gemma":0.002550947,"domain_scores_codex":[0.9995882,0.00007525099,0.00002542408,0.00007543078,0.0001996424,0.00003612005],"domain_scores_gemma":[0.9995864,0.00008936117,0.00005983312,0.0001059664,0.0001406766,0.00001769521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003429371,0.00008740139,0.001647182,0.0001895606,0.0000998635,0.0001595682,0.0001788028,0.132167,0.2460864,0.01263736,0.001373758,0.6050303],"study_design_scores_gemma":[0.00001816787,0.00009604891,0.001291823,0.00001711004,0.0000408399,0.0003474667,0.00006154268,0.8738701,0.1150411,0.004974787,0.004208793,0.0000321634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008407127,0.00009412762,0.9907719,0.0000403433,0.0000193137,0.00001448041,0.00002065486,0.0001707924,0.0004613186],"genre_scores_gemma":[0.1566908,0.0004100532,0.8411232,0.00005088617,0.00003913353,0.00004351608,0.0001502711,0.00005472957,0.001437402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001752983,"threshold_uncertainty_score":0.00348556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581870553032462,"score_gpt":0.2881323860538424,"score_spread":0.2523136805235178,"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."}}