{"id":"W101697707","doi":"10.1007/1-4020-4179-9_44","title":"VIRTUAL RESTORATION OF ARTWORKS USING ENTROPY-BASED COLOR IMAGE FILTERING SCHEMES","year":2006,"lang":"en","type":"book-chapter","venue":"Computational imaging and vision","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Image restoration; Entropy (arrow of time); Image processing; Adaptive filter; Color image; Image (mathematics); Algorithm","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":[0.0003667743,0.0006037442,0.0005158586,0.001283991,0.0002992681,0.001334017,0.0007430908,0.0004752539,0.004357743],"category_scores_gemma":[0.0007064975,0.0003539336,0.0009270197,0.0008249222,0.0007179904,0.001150075,0.0008386157,0.0007284498,0.0007978278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938652,"about_ca_system_score_gemma":0.0003634551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007262643,"about_ca_topic_score_gemma":0.001388525,"domain_scores_codex":[0.999808,0.0000250378,0.00000821165,0.00003429676,0.0001048856,0.00001953142],"domain_scores_gemma":[0.9996973,0.00007533986,0.0000290517,0.00009032647,0.00008774134,0.00002018955],"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":[0.0005355159,0.0001535747,0.0005321604,0.0004198825,0.0001025918,0.0001347582,0.000269792,0.1529733,0.2287059,0.04760162,0.002967563,0.5656033],"study_design_scores_gemma":[0.00003657681,0.0001695017,0.001226091,0.00004124684,0.00007661701,0.0005715661,0.00009184139,0.8568156,0.116545,0.01554853,0.008830111,0.00004731414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02783685,0.0002920175,0.9654233,0.00005704684,0.00006536754,0.00003099764,0.00004821652,0.0004769423,0.005769159],"genre_scores_gemma":[0.3730706,0.0009045007,0.6123437,0.00006840169,0.00008246885,0.00004748152,0.0002117317,0.0003040935,0.01296704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004357743,"threshold_uncertainty_score":0.01457816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154834142195493,"score_gpt":0.309153558435985,"score_spread":0.28760521701403,"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."}}