{"id":"W1956263714","doi":"10.1109/icip.2001.958269","title":"A new edge-directed image expansion scheme","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sharpening; Interpolation (computer graphics); Enhanced Data Rates for GSM Evolution; Computer science; Image (mathematics); Fidelity; Scheme (mathematics); Computer vision; Image gradient; Image scaling; Artificial intelligence; Stairstep interpolation; Algorithm; Image processing; Edge detection; Bilinear interpolation; Mathematics; Multivariate interpolation; Telecommunications","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":[0.0002609939,0.0004599662,0.0004380686,0.0006277436,0.0002250028,0.0003866203,0.001044571,0.0005845914,0.004099232],"category_scores_gemma":[0.0004240444,0.0002530193,0.0003973245,0.0005633251,0.000263288,0.0009763146,0.0008280704,0.0009973979,0.001327498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075361,"about_ca_system_score_gemma":0.0003364448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003854013,"about_ca_topic_score_gemma":0.0005184556,"domain_scores_codex":[0.999798,0.00002424854,0.00001216829,0.00003314274,0.0001145947,0.00001798535],"domain_scores_gemma":[0.999837,0.00002960562,0.00001535647,0.00003593942,0.00006061657,0.00002133043],"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":[0.0001984058,0.00009392743,0.0002066461,0.0003388177,0.00003364836,0.0001983848,0.000111714,0.04224052,0.3809533,0.06514722,0.005948163,0.5045292],"study_design_scores_gemma":[0.0000528301,0.0001438418,0.0003013071,0.00003573897,0.00003005579,0.0006238139,0.00001464296,0.8529629,0.09999699,0.007752476,0.03801664,0.00006873005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003096656,0.0001770529,0.9946064,0.00003781073,0.00006299905,0.00003397257,0.00003183218,0.000342623,0.001610777],"genre_scores_gemma":[0.05044011,0.0004027141,0.9419978,0.00008755983,0.00005448641,0.00008642112,0.0001422731,0.00007454202,0.006714155],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004099232,"threshold_uncertainty_score":0.01371324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909903648790376,"score_gpt":0.2630388001288846,"score_spread":0.2439397636409808,"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."}}