{"id":"W2372011377","doi":"","title":"A New Method For Image Denoising","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Noise reduction; Block (permutation group theory); Image denoising; Image (mathematics); Artificial intelligence; Video denoising; Non-local means; Image restoration; Image quality; Algorithm; Computer vision; Image processing; Pattern recognition (psychology); Mathematics; Video processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054764,0.0006181747,0.0008236082,0.001136186,0.0004618535,0.0006244623,0.0009206653,0.001188097,0.004308715],"category_scores_gemma":[0.0008609273,0.0003755557,0.0009082141,0.0006374788,0.0006467266,0.001308438,0.001081098,0.001601654,0.002050543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332191,"about_ca_system_score_gemma":0.0004867479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008259195,"about_ca_topic_score_gemma":0.001087828,"domain_scores_codex":[0.9994922,0.0000743288,0.00002290168,0.0001239426,0.0002611025,0.00002566281],"domain_scores_gemma":[0.9997354,0.00005448025,0.00001753304,0.00004478086,0.0001224298,0.00002539951],"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":[0.0001945676,0.00008977058,0.0005665548,0.0009076249,0.0001851183,0.0002618053,0.0002541687,0.03736526,0.1910667,0.1250111,0.01815181,0.6259454],"study_design_scores_gemma":[0.00009518034,0.0001511949,0.0006134972,0.00008788449,0.000126708,0.001489916,0.00005605532,0.7521377,0.06041912,0.0362985,0.1484199,0.0001043443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001110939,0.0006385664,0.995858,0.0001097762,0.0002619101,0.00002353022,0.00002579262,0.0002021113,0.001769458],"genre_scores_gemma":[0.03559227,0.001979019,0.9446301,0.0003484472,0.0004116246,0.0001614384,0.0001864343,0.0002709991,0.01641967],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004308715,"threshold_uncertainty_score":0.01441401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125469815238236,"score_gpt":0.3265137862592636,"score_spread":0.31396680473544,"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."}}