{"id":"W4408037308","doi":"10.18280/ts.420106","title":"Image Denoising Algorithm Combining Noise Prior and Sparse Convolutional Self-Coding","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Noise reduction; Image denoising; Computer science; Coding (social sciences); Neural coding; Artificial intelligence; Pattern recognition (psychology); Algorithm; Noise (video); Image (mathematics); Mathematics; Statistics","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":[0.0006428365,0.0006107343,0.0008587295,0.0008249619,0.0002809629,0.0005153109,0.0007557879,0.0009690259,0.001244692],"category_scores_gemma":[0.001035772,0.000355423,0.0006932982,0.0005959262,0.0003401463,0.0008026368,0.0008059231,0.0009349688,0.0007096498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003565406,"about_ca_system_score_gemma":0.001080663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656467,"about_ca_topic_score_gemma":0.004476314,"domain_scores_codex":[0.999689,0.00003173684,0.00001733042,0.0000653911,0.0001634449,0.00003313177],"domain_scores_gemma":[0.9995822,0.00007829007,0.00002834919,0.00006043473,0.0002235052,0.00002709441],"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":[0.0003411605,0.0001770793,0.001414421,0.0001704077,0.0001348615,0.0001115406,0.0000845819,0.1250653,0.13773,0.01057069,0.00434156,0.7198584],"study_design_scores_gemma":[0.00001651456,0.00005912483,0.000527443,0.00001263019,0.00004058014,0.0001387987,0.000009410421,0.9587076,0.03585615,0.002049924,0.002565366,0.00001655552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008158749,0.000161129,0.9903309,0.00008778666,0.00004694572,0.00002008739,0.00002961733,0.0002728046,0.0008920183],"genre_scores_gemma":[0.1386227,0.0005920793,0.8516285,0.0001804614,0.0001034544,0.00007477153,0.0004696774,0.0001320214,0.008196241],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002656467,"threshold_uncertainty_score":0.005281985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008764455881695908,"score_gpt":0.2357599867086213,"score_spread":0.2269955308269254,"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."}}