{"id":"W2158371632","doi":"10.1109/urs.2007.371781","title":"Applications of Wavelet Transforms in Image Fusion","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Panchromatic film; Multispectral image; Image fusion; Wavelet; Artificial intelligence; Image resolution; Computer science; Wavelet transform; Distortion (music); Computer vision; Pattern recognition (psychology); Image (mathematics); Remote sensing; Geography; Bandwidth (computing); 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":[0.002302556,0.0008265576,0.0009712328,0.001863867,0.0003643165,0.001279666,0.0007141907,0.001088941,0.00120395],"category_scores_gemma":[0.004623023,0.0004388958,0.0009418031,0.003633937,0.0009248604,0.001780815,0.00130868,0.001397451,0.0005747881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890013,"about_ca_system_score_gemma":0.0003835104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008895891,"about_ca_topic_score_gemma":0.0004540014,"domain_scores_codex":[0.998847,0.0003525782,0.00009921016,0.0001197061,0.0005320691,0.00004950836],"domain_scores_gemma":[0.998785,0.0006485011,0.000102676,0.0001282255,0.0003150424,0.00002064997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001653502,0.00007564373,0.0009929406,0.0006397272,0.0001680194,0.0003413814,0.0003619093,0.3951477,0.0287355,0.09434903,0.001936397,0.4770864],"study_design_scores_gemma":[0.00001776014,0.00009454822,0.0006177236,0.00007638325,0.0000375464,0.0002820751,0.0000807135,0.9289175,0.01495379,0.04528871,0.009587416,0.00004578721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006229151,0.002814744,0.9875308,0.000206167,0.00009531577,0.00003162761,0.00003413416,0.0002100332,0.002848066],"genre_scores_gemma":[0.2544919,0.0111523,0.7311981,0.0001317417,0.0002921852,0.00009398577,0.0002106118,0.0001277813,0.002301463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002302556,"threshold_uncertainty_score":0.01217723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003165159629771923,"score_gpt":0.2383555701616869,"score_spread":0.235190410531915,"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."}}