{"id":"W4408665621","doi":"10.1117/12.3043327","title":"Speckle noise reduction in coherent spatial frequency domain imaging","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Speckle noise; Speckle pattern; Reduction (mathematics); Frequency domain; Noise reduction; Noise (video); Optics; Computer science; Physics; Artificial intelligence; Computer vision; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003528881,0.00007902853,0.00009478531,0.00006904361,0.00003772517,0.00001938938,0.0000768279,0.00001870376,0.0001624884],"category_scores_gemma":[0.000008022218,0.0000720745,0.00002797754,0.0001722352,0.00006333509,0.00007379481,0.00005816622,0.000130429,0.00002226942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005962187,"about_ca_system_score_gemma":0.00001797742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000964114,"about_ca_topic_score_gemma":0.00003612987,"domain_scores_codex":[0.9994687,0.00001042981,0.0001383008,0.0001711172,0.00004789293,0.0001635791],"domain_scores_gemma":[0.9997603,0.00001641175,0.00002406,0.0001672383,0.00001793323,0.0000140737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008217831,0.00009732525,0.06993359,0.000003259347,0.000009969354,0.000002732368,0.00003188723,0.00007314956,0.02454178,0.7777964,0.0004094948,0.1270922],"study_design_scores_gemma":[0.0003619134,0.000007570645,0.008373376,0.00003540188,0.000004450635,3.634004e-7,0.0006814576,0.000527063,0.02382581,0.965458,0.0006021226,0.000122476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.515556,0.00002774969,0.333973,0.002295995,0.0002795773,0.000194895,0.0000021359,0.0001955184,0.1474751],"genre_scores_gemma":[0.9495723,5.772987e-7,0.05000611,0.00001588015,0.00005046965,0.000007494575,0.000004250908,0.000004568995,0.0003383057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4340163,"threshold_uncertainty_score":0.2939113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00478326965921354,"score_gpt":0.2482950704205993,"score_spread":0.2435118007613858,"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."}}