{"id":"W4214751967","doi":"10.1016/j.ins.2022.02.040","title":"Reversible data hiding for JPEG images with minimum additive distortion","year":2022,"lang":"en","type":"article","venue":"Information Sciences","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"JPEG; Embedding; Discrete cosine transform; Distortion (music); Information hiding; Histogram; Block (permutation group theory); Computer science; Artificial intelligence; Mathematics; Image (mathematics); Image quality; Cover (algebra); File size; Algorithm; Computer vision; Pattern recognition (psychology); Statistics","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":[0.0001546874,0.0003061167,0.000182018,0.0003820238,0.0001634491,0.0003321819,0.0003926366,0.0003161363,0.002741098],"category_scores_gemma":[0.0008253464,0.0001706518,0.0002851635,0.0002384917,0.0003880356,0.0004955704,0.0002773423,0.0004974859,0.0004776129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435712,"about_ca_system_score_gemma":0.0003255116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008386444,"about_ca_topic_score_gemma":0.002197996,"domain_scores_codex":[0.9998186,0.00001694321,0.000006012972,0.00001638481,0.0001232984,0.00001889949],"domain_scores_gemma":[0.9997681,0.0001102256,0.00003117236,0.00004325885,0.00003842469,0.000008795127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004713327,0.0001602328,0.0004721599,0.0005602047,0.00005896805,0.0003983896,0.0001805956,0.03631495,0.6903704,0.07227262,0.001782891,0.1969572],"study_design_scores_gemma":[0.0000663551,0.000407259,0.001561214,0.0000480487,0.00008363181,0.001038214,0.00004924747,0.3026784,0.6740828,0.01225782,0.007678922,0.00004809923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1974543,0.002143598,0.7857333,0.0003981623,0.0001331387,0.0001124003,0.0002046402,0.000493764,0.01332666],"genre_scores_gemma":[0.7849433,0.001936936,0.1931862,0.00006666245,0.00008609683,0.0000572896,0.0002215858,0.0001078205,0.01939401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002741098,"threshold_uncertainty_score":0.009169877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816991992211711,"score_gpt":0.2867120428835028,"score_spread":0.2485421229613857,"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."}}