{"id":"W2080130699","doi":"10.1109/tip.2003.818038","title":"Fractal image denoising","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fractal; Smoothing; Fractal transform; Gaussian noise; Mathematics; Fractal compression; Fractal analysis; Artificial intelligence; Image noise; Image processing; Median filter; Image restoration; Noise (video); Image compression; Algorithm; Computer vision; Noise reduction; Pattern recognition (psychology); Computer science; Image (mathematics); Fractal dimension; Mathematical analysis","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":[0.0004690196,0.0003030777,0.0007048025,0.0006938233,0.0002298492,0.0005233086,0.00034339,0.0007215367,0.002346667],"category_scores_gemma":[0.001763048,0.0001579446,0.0005156236,0.0005708745,0.0005132371,0.0005638957,0.0004320973,0.0004708226,0.0009380244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832543,"about_ca_system_score_gemma":0.0002008812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004461054,"about_ca_topic_score_gemma":0.0006492247,"domain_scores_codex":[0.9997846,0.00002930357,0.00001069453,0.00003692721,0.000119763,0.00001862165],"domain_scores_gemma":[0.9995748,0.0001385931,0.00003718855,0.00008250547,0.0001506158,0.00001629939],"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":[0.0003722455,0.00007745432,0.002172467,0.0007231254,0.0001439787,0.0006002872,0.0003336504,0.0762321,0.301087,0.08850224,0.01087519,0.5188803],"study_design_scores_gemma":[0.00004986118,0.0002967074,0.004555689,0.0001217763,0.0001037069,0.002885001,0.0001321703,0.6617963,0.2113615,0.05078043,0.0678453,0.00007166574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06267747,0.003966376,0.9138363,0.0004272296,0.00027392,0.00006613986,0.0001533545,0.0009300271,0.01766909],"genre_scores_gemma":[0.5101129,0.005819139,0.4615383,0.0004890612,0.000207597,0.0001029145,0.0004921908,0.0002377311,0.0210002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002346667,"threshold_uncertainty_score":0.007850349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841239414238289,"score_gpt":0.3108088287719159,"score_spread":0.282396434629533,"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."}}