{"id":"W2376243413","doi":"","title":"Survey of Image Watermarking Based on DWT & DCT","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discrete cosine transform; Digital watermarking; Computer science; Watermark; Artificial intelligence; Computer vision; Image (mathematics); Discrete wavelet transform; Perspective (graphical); Wavelet; Wavelet transform","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002324674,0.0001695495,0.0001985696,0.0002318489,0.0002378184,0.00003919451,0.001093986,0.00005811498,0.000002842062],"category_scores_gemma":[9.581491e-7,0.0001574698,0.00009882941,0.0006394612,0.0001201108,0.000211417,0.0001852609,0.0001318651,0.00001881072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000212443,"about_ca_system_score_gemma":0.0000393835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004067926,"about_ca_topic_score_gemma":0.000002803311,"domain_scores_codex":[0.9987648,0.00008975658,0.0003079681,0.0004217691,0.0001703486,0.0002453601],"domain_scores_gemma":[0.9987054,0.0001538811,0.000133675,0.0007826335,0.0001615827,0.00006286261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000937653,0.002599764,0.06765305,0.0002588925,0.0001348246,0.0000720608,0.002055137,0.001947786,0.1313124,0.01904354,0.01731523,0.7575136],"study_design_scores_gemma":[0.001183228,0.0003015429,0.3210768,0.0001382007,0.00001395861,0.00007913694,0.000002614418,0.08692075,0.4277711,0.005361064,0.1559491,0.001202488],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005051964,0.00002788736,0.9931462,0.0001260674,0.00001657285,0.0003781934,0.00001819936,0.0003598242,0.0008750523],"genre_scores_gemma":[0.489777,0.000008801539,0.5097806,0.0002552101,0.00002084683,0.0001050468,0.00002635069,0.000009735664,0.00001642085],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7563111,"threshold_uncertainty_score":0.6421434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057133242762799,"score_gpt":0.2551861953496801,"score_spread":0.2346148629220521,"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."}}