xwt_subband_tile — 2D `frequency` op

• Data kinds: image → image

• Call: fullseye.apply(img, "xwt_subband_tile", 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.

1 段ウェーブレット分解(`pywt.dwt2`、Haar)の 4 サブバンド(近似 cA・水平 cH・垂直 cV・対角 cD)を 2x2 に敷き詰めて 1 枚の画像にし、min-max 正規化したもの。ウェーブレットピラミッド表示そのもの。

`a, b` は未使用(分解は 1 段固定)。左上が低周波成分、右下が高周波成分になる。

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_subband_tile — 2D frequency op