{"id":"W2113890395","doi":"10.1109/tip.2003.812375","title":"Recompression of JPEG images by requantization","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electrovaya (Canada); Simon Fraser University; University of Guelph","funders":"Defense Advanced Research Projects Agency","keywords":"Discrete cosine transform; JPEG; Quantization (signal processing); Artificial intelligence; Computer vision; Transform coding; Computer science; Image processing; Image compression; Data compression; Laplace operator; Mathematics; Image (mathematics); 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":[0.0003214663,0.0005611941,0.0004083938,0.0005428223,0.000278682,0.0006033613,0.0005951736,0.0003533904,0.002343692],"category_scores_gemma":[0.001434554,0.0002085939,0.0003480575,0.0004323046,0.0004557223,0.0009311957,0.0005033236,0.0005885468,0.001083568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628506,"about_ca_system_score_gemma":0.0002081544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002720342,"about_ca_topic_score_gemma":0.0005682459,"domain_scores_codex":[0.9997172,0.00003891026,0.00001448872,0.00005238969,0.0001515246,0.00002553752],"domain_scores_gemma":[0.9995356,0.0001342323,0.00006277701,0.0001632104,0.00008232546,0.00002183645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005532793,0.0001317444,0.000412571,0.0002302846,0.00003383919,0.0003742565,0.0001836844,0.01977262,0.5004134,0.02910855,0.002241336,0.4465445],"study_design_scores_gemma":[0.00008784078,0.0007548219,0.001596724,0.00003968745,0.00007857081,0.001925677,0.0001245137,0.2290328,0.7248335,0.01716325,0.02428022,0.00008238172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07882,0.000798843,0.9143941,0.0001686256,0.0001909188,0.00008349003,0.00004657369,0.0008872234,0.004610147],"genre_scores_gemma":[0.3928195,0.0008852953,0.5980319,0.0002184797,0.000221441,0.00005485336,0.0001867496,0.0003019123,0.007279702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002343692,"threshold_uncertainty_score":0.007840395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969654624054453,"score_gpt":0.289865492473445,"score_spread":0.2701689462329004,"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."}}