smoothing op• Data kinds: image → image
• Call: fullseye.apply(img, "xkor_motion_blur", 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).*
Motion blur. Calls `kornia.filters.motion_blur`.
> The detailed description below is the original text — the summary and the headings are translated.
a がカーネル長とブラー角度の両方を振る
（カーネルサイズ `2*int(2+a*6)+1 = 5〜17、角度 360*a` 度）ため、
この 2 つは独立には制御できない。b はブラー方向のオフセット
（`2*b-1`、範囲 -1〜1）を振る。kornia は float32 の畳み込みなので
重み和の丸めで出力が 1 をわずかに超えることがある(実測 max=1+2e-7)。
image は [0,1] 契約なので出口で clip する（ops._apply が段間で
掛けている clip と同じで、パイプライン全体の結果は変わらない）。
• 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.
xkor_motion_blur 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.