{"id":"W4315851341","doi":"10.1007/978-3-642-35947-7_214-1","title":"Image Enhancement","year":2022,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Faurecia (Canada)","funders":"","keywords":"Luminance; Computer vision; Display size; Computer science; Pixel; Grayscale; Image quality; Artificial intelligence; Digital signage; Computer graphics (images); Display device; Optics; Multimedia; Physics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005917087,0.0002232995,0.0003376919,0.0002515377,0.0001537596,0.00001092514,0.0004326727,0.0001208392,0.01552436],"category_scores_gemma":[0.000001748976,0.0002273472,0.0001455412,0.00008755143,0.0003440141,0.00004958499,0.0003658338,0.000342642,0.0002543776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003659608,"about_ca_system_score_gemma":0.00009503542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001412109,"about_ca_topic_score_gemma":0.000002339867,"domain_scores_codex":[0.9988682,0.000003880418,0.0003181242,0.0003803585,0.0002060501,0.000223415],"domain_scores_gemma":[0.9991944,0.00002463926,0.0002756525,0.0004068428,0.00005812234,0.00004030976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006678726,0.0001212893,0.00006749135,0.00001240469,0.00006143214,0.000001899419,0.00002410585,5.100763e-7,0.01917557,0.9532705,0.001768151,0.02548997],"study_design_scores_gemma":[0.0003581386,0.0005156577,0.000009632856,0.0001572689,0.0001066409,0.000001614522,0.00008779421,0.00009690734,0.04250591,0.1583769,0.797301,0.0004825972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002266445,0.0007704922,0.01480216,0.0004187932,0.0001718601,0.0006850649,0.0002405383,0.0001085923,0.980536],"genre_scores_gemma":[0.2278741,0.0005570891,0.006180466,0.0001507356,0.0003929932,0.001296749,0.0007634088,0.0001771261,0.7626073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7955328,"threshold_uncertainty_score":0.9853756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00853548548947586,"score_gpt":0.2859823979148596,"score_spread":0.2774469124253838,"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."}}