{"id":"W4323359974","doi":"10.1117/1.jei.32.2.023004","title":"Nonlinear demosaicking method and apparatus for nonlinear CMOS image sensors exhibiting low-density salt-and-pepper noise","year":2023,"lang":"en","type":"article","venue":"Journal of Electronic Imaging","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Demosaicing; Artificial intelligence; Pixel; RGB color model; Computer vision; Color filter array; Noise (video); Computer science; Image sensor; Nonlinear system; MATLAB; Outlier; Mathematics; Image processing; Color image; Image (mathematics); Color gel; Materials science","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":[0.0006505185,0.0005800886,0.0003154477,0.0004211646,0.0002903017,0.0005503474,0.0006696022,0.0005848938,0.003701561],"category_scores_gemma":[0.001891786,0.0002337811,0.0003700474,0.000383542,0.0004990924,0.0004950233,0.000525152,0.0006287013,0.001696397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005176194,"about_ca_system_score_gemma":0.0007231658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649533,"about_ca_topic_score_gemma":0.002678555,"domain_scores_codex":[0.9996,0.00004471868,0.00002428351,0.00008040685,0.0002242941,0.00002632609],"domain_scores_gemma":[0.9992126,0.0001483475,0.00008555377,0.0002731136,0.0002520419,0.00002827308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000309225,0.00009258831,0.001921607,0.0005157575,0.00005244522,0.0003511579,0.0002114905,0.02559518,0.6768166,0.008897454,0.003929629,0.2813069],"study_design_scores_gemma":[0.0000530435,0.0002885674,0.005359741,0.00008779315,0.00006056222,0.001607285,0.0000830635,0.2458926,0.7130383,0.002361917,0.03104256,0.0001245867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01273844,0.0000977823,0.9837271,0.00009532235,0.00005916098,0.000125481,0.00008118599,0.0008530912,0.002222481],"genre_scores_gemma":[0.07136149,0.0001545693,0.9256527,0.00008507074,0.00001356786,0.0001244333,0.0001299606,0.00008890036,0.00238927],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003701561,"threshold_uncertainty_score":0.01238298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207656885476837,"score_gpt":0.3055373197662629,"score_spread":0.2934607509114945,"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."}}