{"id":"W1892381122","doi":"10.1109/pacrim.1993.407196","title":"A modified Wiener filter for the restoration of blurred images","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Wiener filter; Filter (signal processing); Image restoration; Fourier transform; Image (mathematics); Operator (biology); Computer science; Computer vision; Artificial intelligence; Algorithm; Mathematics; Image processing; Mathematical analysis; Chemistry","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":[0.0005349608,0.0006627773,0.0006997645,0.0006828565,0.0002467911,0.0005607014,0.0005378067,0.001186969,0.002566917],"category_scores_gemma":[0.001212053,0.0002994373,0.0007158758,0.0006146503,0.0004450898,0.001026071,0.0004686684,0.0006700286,0.001359032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914448,"about_ca_system_score_gemma":0.0004569436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007859194,"about_ca_topic_score_gemma":0.001441609,"domain_scores_codex":[0.9995983,0.00007670766,0.00002257703,0.00005254898,0.0002308227,0.00001914528],"domain_scores_gemma":[0.999774,0.00008599968,0.00002826507,0.00002840001,0.00007093557,0.00001240269],"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":[0.0002185473,0.0000797226,0.0003210815,0.0007013058,0.0001575537,0.0005075223,0.000170865,0.07853564,0.3277425,0.07361729,0.006408696,0.5115393],"study_design_scores_gemma":[0.0000326144,0.0002168331,0.0008735575,0.00007393349,0.00008516699,0.002047779,0.00002380432,0.8518967,0.09028338,0.01814816,0.03619488,0.0001233237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002117266,0.0007832437,0.9960018,0.00006040064,0.00006940544,0.00001918532,0.00001557603,0.000206794,0.0007262711],"genre_scores_gemma":[0.04436568,0.001902215,0.9463105,0.00008488513,0.0000892539,0.00007839788,0.00009649967,0.00008936616,0.006983293],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002566917,"threshold_uncertainty_score":0.008587122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170917495759853,"score_gpt":0.2880628665255088,"score_spread":0.2363536915679103,"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."}}