iqa op• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)
• Call: import fullseye as fs; fs.ledger.tid2013_published() -> 'Dict[str, Tuple[float, float]]' (to call the implementation directly, import iqatid; iqatid.tid2013_published() -> 'Dict[str, Tuple[float, float]]'; from the registry, opsimgmetrics.get("tid2013_published"))
> This operator's description has not been translated yet. The original text follows as it is.
公表の順位相関表 {metric: (SROCC, KROCC)}(14 本)。
出典: https://www.ponomarenko.info/tid2013.htm(Last changed 2015-03-23)の「Ranking of compared metrics in accordance with
Spearman / Kendall correlation with MOS」、配布物 readme の TABLE III / IV と同一。鍵は配布物 `metrics_values/<鍵>.txt` の
ファイル名(小文字)。同梱の作者値と mos.txt から、Spearman = 平均順位・Kendall = τ_b で 14 本すべて 3 桁一致
(|差| ≤ 0.0005 / 0.00044、2026-10-04)。ページ冒頭の「PSNR … is 0.69」と使用例の「FSIMc Full : 0.666」は表と食い違う
(前者は TID2008 の名残、後者は τ_a 0.66626 に一致 —— どちらも推測)ので門には使わない。
• image_difference_metrics family guide
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_iqa_fsim_gmsd_vif — py -3.11 examples/poc_iqa_fsim_gmsd_vif.py
• poc_iqa_tid2013 — py -3.11 examples/poc_iqa_tid2013.py
table as input)luma_limited_u8 · rank_data · tid2013_index · tid2013_by_distortion
iqa)luma_limited_u8 · rank_data · rank_spearman · rank_kendall_b · tid2013_root · tid2013_index · tid2013_metric_values · tid2013_evaluate
*Provenance: iqatid.py — IMGMETRICS operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.