restoration op• Data kinds: image → image
• Call: fullseye.apply(img, "xcv3_inpaint_ns", 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 by the Navier-Stokes method (OpenCV `cv2.inpaint, INPAINT_NS`). A restoration algorithm that fills in missing regions by propagating information from surrounding pixels using fluid-dynamics principles.
> The detailed description below is the original text — the summary and the headings are translated.
このレシピはマスクを外部から受け取らず、画像自身の中で輝度が 235 超(白飛び)または 20 未満(黒つぶれ)の画素を自動的に欠損とみなして半径 3 px でインペイントする。`a, b` は未使用。任意のマスクで穴埋めしたい用途には使えない点に注意。
• 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.
xcv3_inpaint_ns 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 · xcv_inpaint · xsk2_wiener · 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.