simulate_defocus — 2D `smoothing` op

• Data kinds: image → image

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

• HALCON equivalent: simulate_defocus (the HALCON reference is a useful guide to its meaning and parameters)

Usage

> This operator's description has not been translated yet. The original text follows as it is.

一様なピンボケ（デフォーカス）をシミュレートする平滑化。実装は矩形窓の平均フィルタ（box filter, `ndimage.uniform_filter）で、円形絞りによる本来のボケ形状（circle-of-confusion）ではなく正方形窓で近似する。a が窓幅を 3/5/7/9 の 4 段階に振り（_k(a)`）、b は未使用。

HALCON の `simulate_defocus`（一様なピンボケをシミュレートする演算）に相当するが、光学的に正しい円形ボケではなく矩形平均という粗い近似である点に注意。

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 (`smoothing`)

gaussian · mean_box · bilateral · unsharp · sk_tv · sk_wavelet · sk_rolling_ball · sk_nlm

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

simulate_defocus — 2D smoothing op