smoothing op• Data kinds: image → image
• Call: fullseye.apply(img, "dl_guided_filter", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: guided_filter (the HALCON reference is a useful guide to its meaning and parameters)
*The figure is the actual output on a synthetic 128×128 input. Left: input, right: output. Point clouds are drawn as a top-down scatter (brightness = z), 1-D series as a line plot, volumes as the maximum-intensity projection along z, videos as the middle frame, complex images as magnitude; return values that are not pictures are shown as the values themselves.*
Sweeping knob a (0.1 / 0.5 / 0.9, the other knob at its default):
▸ dl_guided_filter: knob a sweep (docs site)
Sweeping knob b (0.1 / 0.5 / 0.9, the other knob at its default):
▸ dl_guided_filter: knob b sweep (docs site)
On other images (synthetic scene / photo / coins. Top row: inputs, bottom row: their outputs. Knobs at default):
▸ dl_guided_filter: other inputs (docs site)
*The 4th column is a colour (H,W,3) input. This op handles colour without crossing channels (it does not convolve the colour channel as a third spatial axis).*
A self-guided filter (guided filter, with the guide image being the input itself; torch implementation).
> The detailed description below is the original text — the summary and the headings are translated.
局所窓内の線形回帰 `q = a_lin*I + b_lin` を箱フィルタで解くエッジ保存平滑化。
`a は窓半径 r を 1〜5 に振り（r = 1 + int(a*4)）、b` は正則化項
`eps を 0.001〜0.051 に振る（eps = 0.001 + 0.05*b`、大きいほど強く平滑化
されエッジ保存が弱まる）。バイラテラルフィルタの高速な代替として知られる手法で、
ガイド画像を入力自身にしているのでセルフガイド付きのエッジ保存平滑化として働く。
HALCON の `guided_filter`（画像のガイデッドフィルタリングを行う）に相当するが、
同じ結果になるとは限らない近似実装。
• gallery2d_smoothing_rank 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.
dl_guided_filter 0.35 0.50
▸ Load this pipeline · Load & run
• gallery2d_smoothing_rank — py -3.11 examples/gallery2d_smoothing_rank.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.