{"id":"W2377929809","doi":"","title":"A Fractal Image Compression Algorithm Based on Quadtrees and Evolution Algorithm","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fractal compression; Algorithm; Fractal transform; Computer science; Block (permutation group theory); Fractal; Image compression; Data compression; Image (mathematics); Block size; Compression ratio; Compression (physics); Matching (statistics); Image processing; Artificial intelligence; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001821657,0.000289176,0.0003998131,0.0007775968,0.0003664124,0.0003330383,0.0002916157,0.000356071,0.001019588],"category_scores_gemma":[0.0005025316,0.000160117,0.0003403345,0.0008746735,0.0003194764,0.0006241186,0.0002844027,0.0004615236,0.0002896967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525608,"about_ca_system_score_gemma":0.0004338488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678258,"about_ca_topic_score_gemma":0.001190133,"domain_scores_codex":[0.9998292,0.0000158654,0.00001089265,0.0000221074,0.000109468,0.00001255423],"domain_scores_gemma":[0.9998482,0.00003377731,0.00001443129,0.00001801166,0.00007476506,0.00001078714],"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":[0.0001650576,0.0000664835,0.001290737,0.0002274261,0.00006841718,0.0004249714,0.0002688984,0.09353913,0.1318244,0.06042669,0.007622378,0.7040753],"study_design_scores_gemma":[0.00009238228,0.0002552942,0.002533003,0.00004384563,0.00005260532,0.002121047,0.00004325974,0.8759169,0.05679312,0.02037219,0.04168719,0.0000891659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03144215,0.001078907,0.9612718,0.00018721,0.0001520443,0.0001066621,0.00009824181,0.0008601804,0.004802748],"genre_scores_gemma":[0.2590276,0.001173689,0.7308876,0.000134753,0.00009574361,0.0001683163,0.0003832141,0.0001146638,0.008014408],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001678258,"threshold_uncertainty_score":0.003410876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005066497939081229,"score_gpt":0.2334026977708347,"score_spread":0.2283361998317535,"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."}}