smoothing op• Data kinds: image → image
• Call: fullseye.apply(img, "unsharp", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: emphasize (the HALCON reference is a useful guide to its meaning and parameters)
Unsharp mask. ★It clips to [0,1] on the way out (2026-09-02).
> The detailed description below is the original text — the summary and the headings are translated.
`v + k*(v - blur)` は定義上オーバーシュートする(実測 min=-0.1499 /
max=+1.1499)。_apply は段間で同じ clip を掛けるので **パイプライン結果は
ビット不変**だが、fullseye.apply を単発で呼ぶ経路だけは生値が出ていて、
image の [0,1] 契約を破ったまま保存すると黒/白に潰れていた。GPU 側
(accel._unsharp)も同じ clip を持つ。
• gallery2d_smoothing_rank 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.
• gallery2d_smoothing_rank — py -3.11 examples/gallery2d_smoothing_rank.py
image as input)identity · gaussian · mean_box · bilateral · median · min_filter · max_filter · percentile
smoothing)gaussian · mean_box · bilateral · sk_tv · sk_wavelet · sk_rolling_ball · sk_nlm · sk_tv_bregman
*Provenance: ops.py — 2D 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.