xwt_mra_component — 2D `frequency` op

• Data kinds: image → image

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

Usage

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

多重解像度解析(MRA、`pywt.mra2)の 1 段分の詳細成分。db2` で 3 段の MRA 分解を行うと、各段の水平/垂直/対角成分が元画像と同じ解像度の画像として得られる(通常のウェーブレット分解と違い縮小されない)。ここではそのうち 1 段を選び、水平+垂直+対角を足し合わせた合成ディテール画像を min-max 正規化して返す。

`a はどの段を見るか(1〜3 段目、min(3,1+int(a*3))。近似成分[0 段目]は選ばれない)を振る。b` は未使用。段が大きいほど粗いスケールのディテールになる。

Detailed usage guide

• gallery2d_texture_freq 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_texture_freq — py -3.11 examples/gallery2d_texture_freq.py

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

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

Same category (`frequency`)

lowpass · highpass · sk_butterworth · fft_image · power_real · power_byte · phase_rad · highpass_image

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

xwt_mra_component — 2D frequency op