restoration op• Data kinds: image → image
• Call: fullseye.apply(img, "xsk_inpaint", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*
Restoration (inpainting) that estimates and fills missing regions.
> The detailed description below is the original text — the summary and the headings are translated.
極端に明るい(>0.92)/暗い(<0.08)画素を「欠損」とみなして自動マスクし、
skimage の biharmonic inpainting(調和方程式に基づく補間)で周囲から
滑らかに埋める。
マスクが無ければ(欠損が見当たらなければ)入力をそのまま返す。`a`,
`b` は未使用。しきい値が固定なので、本来ハイライト/シャドウとして
意味のある画素まで「欠損」扱いされ埋められてしまう場合がある。
• 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.
The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
xsk_inpaint 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_smoothing_rank — py -3.11 examples/gallery2d_smoothing_rank.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
restoration)xsk_richardson_lucy · xsk_unwrap_phase · xcv_inpaint · xsk2_wiener · xcv3_inpaint_ns · iv_richardson_lucy · iv_wiener_deconv_spatial · iv_unsharp_deblur
*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.