xsk_unwrap_phase — 2D `restoration` op

• Data kinds: image → image

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

Usage

Phase unwrapping. Treats the input [0,1] as phase [-pi, pi], removes 2*pi wraps using `skimage.restoration.unwrap_phase, then converts back to [0,1] via signed01` while preserving sign (0 -> 0.5).

> The detailed description below is the original text — the summary and the headings are translated.

`a, b` は未使用。干渉縞など周期的にラップした位相画像の連続化に使う op で、

一様なグラデーションやランダムノイズなど元々位相らしくない入力では意味のある

結果にならないことがある。

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 · 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).*

xsk_unwrap_phase — 2D restoration op