{"id":"W4229867752","doi":"10.1002/9781119111771.ch11","title":"Changing the Sampling Structure of an Image","year":2019,"lang":"en","type":"other","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bilinear interpolation; Upsampling; Bicubic interpolation; Stairstep interpolation; Algorithm; Lattice (music); Interpolation (computer graphics); Computer science; Mathematics; Sampling (signal processing); Polynomial; Image scaling; Computer vision; Image (mathematics); Image processing; Multivariate interpolation; Mathematical analysis; Filter (signal processing)","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":[0.0001329495,0.0002730747,0.0001584124,0.0003608903,0.000232733,0.0006461777,0.0002809311,0.0002946676,0.008369484],"category_scores_gemma":[0.0004495003,0.0001538084,0.0002113521,0.0003253545,0.0003880663,0.000616249,0.0003697167,0.0004350319,0.002116844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273514,"about_ca_system_score_gemma":0.0002479247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006458228,"about_ca_topic_score_gemma":0.0007353191,"domain_scores_codex":[0.999873,0.00001129218,0.000004347505,0.00003121574,0.0000612981,0.00001893029],"domain_scores_gemma":[0.9998775,0.00003537063,0.000009248053,0.00003786436,0.0000283089,0.00001168672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002252098,0.00004296237,0.0004070574,0.0001575351,0.00001179995,0.0001990371,0.0002492286,0.007491713,0.6632084,0.03896986,0.00283559,0.2862017],"study_design_scores_gemma":[0.00004728964,0.0003438743,0.003162083,0.00008146299,0.00005196025,0.00132819,0.0003461134,0.131605,0.720861,0.0222144,0.1198956,0.00006301195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1719241,0.002045797,0.7386511,0.0006233036,0.0003344966,0.0001243303,0.0002992369,0.002034721,0.08396297],"genre_scores_gemma":[0.6037459,0.003084523,0.3521775,0.0003165912,0.0001491391,0.00006140979,0.0003769279,0.0005104456,0.03957755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008369484,"threshold_uncertainty_score":0.02799869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313924585476248,"score_gpt":0.2958539471021563,"score_spread":0.2827147012473938,"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."}}