typed op• 数据种类:lightfield → image
• 调用:fullseye.apply(img, "tb_lf_synthetic_aperture", a=0.5, b=0.5)(2-D 的模型是一张图 + 两个标量旋钮 a,b∈[0,1])
*无图: 该算子以 lightfield 为输入。从图像开始的 Studio 程序无法到达该类型，请参见下方的可运行示例。*
通过成形光圈重新对焦——若使用 `reduce="median"`，还能穿透遮挡物。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
Same shift-and-add geometry as :func:lf_refocus, with two additions:
• *mask* — a `(V, U) weight array from :func:lf_aperture_mask` (or your
own). A small mask is a stopped-down aperture: less defocus blur, less
light. `None` weights every view equally.
• *reduce* — how the aligned views are combined. `mean` is the classical
(and linear) synthetic aperture. `median` is the interesting one: when
a foreground occluder covers a *minority* of the views at a pixel, the
median rejects it and the background behind it is reconstructed —
looking through a fence, or through a rack of parts. `max / min`
are the order-statistic extremes, useful for specular / shadow work.
`median, max and min` use the mask only to *select* views
(weight > 0), because an order statistic has no meaningful weighting;
that is stated here rather than silently ignoring the weights.
The see-through result is not a metaphor. When fewer than half the views
are blocked at a hidden pixel, more than half of them carry the identical
background sample and the median is that sample exactly. Measured
2026-09-01 on a 9x9x64x64 field with an occluder covering 25% of the centre
view at slope 3.0 (blocking at most 46% of the views at any hidden pixel):
RMS against the true, hidden background was 0.0 for `median` and
0.159 for `mean`, with the centre view itself at 0.280. Push the coverage
to 35% (up to 60% of views blocked) and the guarantee is gone — the median
lands at 0.133, worse than nothing.
Returns a `(H, W)` 2-D image.
Raises `ValueError`: *lf* not a valid light field, a *mask* whose
shape is not `(V, U)` or which is non-finite / negative / selects no view,
a non-finite or over-large *slope*, unknown *reduce* / *interp* / *edge*.
Typed bridge of the lightfield op `lf_synthetic_aperture into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• (暂无)
image 作为输入)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal
*Provenance: ops.py — 2D 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.