{"id":"W2032141861","doi":"10.1016/j.patcog.2011.06.013","title":"Tunable halfband-pair wavelet filter banks and application to multifocus image fusion","year":2011,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Wavelet; Filter (signal processing); Mathematics; Polynomial; Parametric statistics; Filter bank; Algorithm; Wavelet transform; Artificial intelligence; Computer science; Pattern recognition (psychology); Computer vision; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004264963,0.0001394876,0.0001302539,0.0001325439,0.0001284906,0.0001284894,0.0002326297,0.00006878978,0.0001062017],"category_scores_gemma":[0.00003494889,0.0001317925,0.0000384756,0.0001770113,0.00002310862,0.0005341891,0.0001587874,0.0001080615,0.0005726459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002140032,"about_ca_system_score_gemma":0.000009513384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002650449,"about_ca_topic_score_gemma":0.00001372234,"domain_scores_codex":[0.9988453,0.0001236305,0.0001974334,0.0004357512,0.000158482,0.0002394047],"domain_scores_gemma":[0.9993181,0.00005736481,0.0000686249,0.0003147224,0.0001283848,0.0001127973],"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":[0.00001588103,0.00004943238,0.0002978544,0.00002144688,0.000004354899,0.00001224031,0.001005809,2.005573e-7,0.03441918,0.00001024159,0.0004811662,0.9636822],"study_design_scores_gemma":[0.002341824,0.0005167408,0.07321711,0.0002317174,0.00004949725,0.0001459611,0.00007235065,0.06238922,0.8341398,0.02227196,0.003494565,0.001129311],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1091663,0.00002540359,0.8876922,0.0002544964,0.0001418834,0.0002742537,0.000008562616,0.0001234148,0.002313513],"genre_scores_gemma":[0.7221792,0.00001219734,0.2760996,0.001314837,0.00008385412,0.00009277745,0.0000294761,0.00001733765,0.0001706689],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9625529,"threshold_uncertainty_score":0.7360395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548540551436521,"score_gpt":0.2577846920721243,"score_spread":0.2222992865577591,"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."}}