restoration op• Data kinds: image → image
• Call: fullseye.apply(img, "xcv_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).*
Inpainting that estimates and fills in missing regions.
> The detailed description below is the original text — the summary and the headings are translated.
8bit 変換後、極端に明るい(>235)/暗い(<20)画素を「欠損」とみなして
自動マスクし、OpenCV の Telea 法(高速マーチング法ベース、
`cv2.INPAINT_TELEA)で周囲から埋める。xsk_inpaint`
(biharmonic 法)と同じ発想の別アルゴリズム版。
半径 3 画素の近傍を使う(固定)。`a, b` は未使用。しきい値が
固定のため、本来意味のある白飛び/黒つぶれ画素まで埋められてしまう
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.
xcv_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_inpaint · xsk_richardson_lucy · xsk_unwrap_phase · 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.