{"id":"W3200694817","doi":"10.17762/de.vi.4560","title":"Image Restoration using Recent Techniques: A Survey","year":2021,"lang":"en","type":"article","venue":"Design Engineering","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image restoration; Computer science; Computer vision; Artificial intelligence; Feature detection (computer vision); Digital image processing; Image processing; Image (mathematics); Digital image; Noise (video); Image quality; Process (computing)","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":[0.001119369,0.001014913,0.00110931,0.003688708,0.0006433011,0.00172597,0.001561857,0.001391119,0.005117447],"category_scores_gemma":[0.002299869,0.0006897361,0.001062019,0.004977461,0.0008781441,0.002642005,0.0008882699,0.001499969,0.003303347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005073188,"about_ca_system_score_gemma":0.000825186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134609,"about_ca_topic_score_gemma":0.001036103,"domain_scores_codex":[0.9988806,0.0001174744,0.0001048744,0.0001950419,0.0006474884,0.00005444654],"domain_scores_gemma":[0.9982547,0.0006661132,0.0001729985,0.0001451391,0.00069836,0.00006262008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007099417,0.0001206692,0.0006206985,0.004340833,0.00005926311,0.0001606932,0.000153013,0.002334703,0.00738286,0.005504465,0.009742146,0.9695097],"study_design_scores_gemma":[0.00002357809,0.000549574,0.003203966,0.002183927,0.0002345484,0.005265124,0.0004324006,0.01853408,0.02592854,0.01104986,0.9324285,0.0001658444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006519549,0.8584707,0.1140745,0.001098717,0.0008764637,0.00009470838,0.0000841692,0.0005278264,0.01825338],"genre_scores_gemma":[0.03426623,0.8644062,0.0861313,0.0007086828,0.001541116,0.00009914897,0.0003028171,0.000187723,0.01235687],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005117447,"threshold_uncertainty_score":0.01711959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04624985496861816,"score_gpt":0.2703690923654431,"score_spread":0.2241192373968249,"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."}}