{"id":"W2046102294","doi":"10.1007/s11760-011-0260-6","title":"A novel discrete wavelet transform framework for full reference image quality assessment","year":2011,"lang":"en","type":"article","venue":"Signal Image and Video Processing","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec; Université du Québec à Montréal","funders":"","keywords":"Haar wavelet; Wavelet; Pooling; Computer science; Image quality; Peak signal-to-noise ratio; Artificial intelligence; Discrete wavelet transform; Distortion (music); Quality Score; Pattern recognition (psychology); Wavelet transform; Algorithm; Data mining; Image (mathematics); Metric (unit)","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":[0.001450645,0.0009649984,0.0011103,0.001204,0.0002876275,0.001459792,0.001593714,0.001093752,0.002546608],"category_scores_gemma":[0.002782192,0.0003713314,0.0009917982,0.001404357,0.0004707145,0.001886238,0.00130251,0.001338374,0.001699454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685294,"about_ca_system_score_gemma":0.0007583859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724529,"about_ca_topic_score_gemma":0.002069337,"domain_scores_codex":[0.9988569,0.0001939926,0.00006885459,0.0001647581,0.0006593816,0.00005615157],"domain_scores_gemma":[0.9990492,0.0001751808,0.00007811501,0.0001997407,0.000447564,0.00005015683],"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":[0.000267309,0.0001759771,0.0005299994,0.0002895382,0.0001257506,0.0002665594,0.00009182575,0.07128076,0.1192793,0.05635165,0.005109216,0.7462322],"study_design_scores_gemma":[0.00001893605,0.0001083393,0.0004472208,0.00001683231,0.00004678858,0.0003433357,0.00002015882,0.9681618,0.01615434,0.008821099,0.005824627,0.00003644461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008791416,0.00008512006,0.9985732,0.00002016028,0.00001646972,0.00001175617,0.00002511939,0.0001350093,0.0002540387],"genre_scores_gemma":[0.05256275,0.0005390132,0.9440507,0.00005077998,0.0001001842,0.0000722909,0.0003034406,0.0001529212,0.002167993],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002546608,"threshold_uncertainty_score":0.008519232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022347312493376,"score_gpt":0.3795413691011424,"score_spread":0.2773066378518048,"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."}}