{"id":"W2363373050","doi":"","title":"Digital image Hiding Technology based on neighbor mean Image Interpolation","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information hiding; Computer science; Image scaling; Interpolation (computer graphics); Image (mathematics); Computer vision; Artificial intelligence; Digital image; Bicubic interpolation; Image quality; Multivariate interpolation; Bilinear interpolation; Image processing","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":[0.0002446159,0.000204704,0.0002693158,0.0006223,0.0003429868,0.0002605772,0.0005240398,0.0003044278,0.001470844],"category_scores_gemma":[0.0004732095,0.0002017817,0.0004087544,0.0005913859,0.0002433061,0.0009050994,0.0003990934,0.0003842142,0.0004238993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802296,"about_ca_system_score_gemma":0.0003586381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007845403,"about_ca_topic_score_gemma":0.0009244776,"domain_scores_codex":[0.9997488,0.00002437056,0.000009013334,0.00004063532,0.0001614261,0.00001574812],"domain_scores_gemma":[0.9998487,0.00003490026,0.00002288526,0.00002836854,0.00005854008,0.000006610534],"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":[0.0002615844,0.0001053148,0.002241987,0.0003753074,0.00005932605,0.0001852598,0.0002658535,0.0256989,0.3726543,0.02316427,0.002242496,0.5727454],"study_design_scores_gemma":[0.00007801881,0.0005130316,0.004381656,0.00005188927,0.0001040654,0.001636378,0.00009140244,0.5744238,0.3736655,0.0104275,0.03451166,0.0001150871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06579394,0.001039156,0.9246618,0.0002125216,0.0001257748,0.00007130092,0.0000708166,0.0009398749,0.007084788],"genre_scores_gemma":[0.5389907,0.001209393,0.4504324,0.00008275015,0.00007492083,0.0001021012,0.0001698399,0.000058826,0.008879023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001470844,"threshold_uncertainty_score":0.004920423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004353359791090044,"score_gpt":0.2192562073126854,"score_spread":0.2149028475215954,"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."}}