xcv_inpaint — 2D `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])

Usage

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。

Detailed usage guide

• gallery2d_smoothing_rank family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• gallery2d_smoothing_rank — py -3.11 examples/gallery2d_smoothing_rank.py

Ops the type connects to (they accept `image` as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (`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).*

xcv_inpaint — 2D restoration op