{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007281476,0.0003239182,0.0002754582,0.0004296567,0.0001585331,0.0004037266,0.0003461267,0.000428721,0.0005576204],"category_scores_gemma":[0.001387734,0.0001962588,0.0001899808,0.0004762613,0.0004049711,0.0004990601,0.0003867901,0.0002771769,0.0001530881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003771528,"about_ca_system_score_gemma":0.0002956057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000668898,"about_ca_topic_score_gemma":0.001397847,"domain_scores_codex":[0.9995536,0.00007989103,0.00001943404,0.00009507754,0.0002045623,0.00004732262],"domain_scores_gemma":[0.9993535,0.0003424875,0.00007735051,0.00005508426,0.0001529085,0.00001864142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001348731,0.00006222803,0.001885968,0.0001356893,0.00002551783,0.00007359182,0.00009367575,0.005073932,0.9564232,0.0008871838,0.0002015592,0.0350026],"study_design_scores_gemma":[0.00001806652,0.0002320391,0.007611218,0.00001947601,0.00003258764,0.0002533045,0.00004750599,0.08815919,0.9011925,0.0007352424,0.001667043,0.00003189206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816384,0.001600454,0.3123685,0.0002136941,0.0000741812,0.00005049647,0.000173933,0.0003594577,0.003520792],"genre_scores_gemma":[0.77394,0.00107383,0.222862,0.0001564866,0.0000445521,0.0001031803,0.0003213607,0.00007207559,0.001426562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007281476,"threshold_uncertainty_score":0.003850818,"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."}}