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])

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*
One level's detail component from multiresolution analysis (MRA, `pywt.mra2). Performing a 3-level MRA decomposition with db2` yields horizontal/vertical/diagonal components at each level as images at the same resolution as the original image (unlike ordinary wavelet decomposition, they are not downsampled). Here, one level is selected and a composite detail image -- horizontal + vertical + diagonal summed -- is min-max normalized and returned.
> The detailed description below is the original text — the summary and the headings are translated.
`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。
• gallery2d_texture_freq family guide
• 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.
The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
xwt_mra_component 0.40 0.50
▸ Load this pipeline · Load & run
• gallery2d_texture_freq — py -3.11 examples/gallery2d_texture_freq.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.