perceptual op• Data kinds: image2d × image2d → scalar
• Call: import fullseye as fs; fs.ledger.fsim(ref, dist, data_range: 'float' = 255.0) -> 'float' (to call the implementation directly, import iqafsim; iqafsim.fsim(ref, dist, data_range: 'float' = 255.0) -> 'float'; from the registry, opsimgmetrics.get("fsim"))
> This operator's description has not been translated yet. The original text follows as it is.
FSIM(輝度のみ、1 = 同一、higher is better)。TID2013 の FSIM.txt と 4 桁一致するのは Y′ limited の灰色画像を渡したとき
(`iqatid.tid2013_evaluate(root, fsim, luma="limited_u8")、3,000 組 max |差| 5.0e-5)。詳細 :func:fsim_pair`。
• 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
scalar as input)luma_limited_u8 · rank_data · tid2013_index
perceptual)fsimc · fsim_pair · gmsd · gmsd_map · vifp · phase_congruency_pc
*Provenance: iqafsim.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.