lf_refocus — LIGHTFIELD `refocus` op

• 数据种类:lightfield → image2d

• 调用:import lightfield; lightfield.lf_refocus(lf, slope=0.0, *, interp='linear', edge='nearest')(或 opslightfield.get("lf_refocus"))

移位相加重聚焦:聚焦在 *slope* 上的合成孔径图像。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

Every view `(v, u) is shifted by (-s*(v - v_c), -s*(u - u_c))` — the

minus undoes the parallax of a point at slope `s` — and the shifted

views are averaged. Points at that slope add coherently and stay sharp;

everything else is smeared by an amount proportional to its slope

difference times the angular baseline. `slope=0` is the plane the array

was already focused on and returns the plain average of the views.

Ground truth it reproduces exactly (pinned in `tests/test_lightfield.py`):

a single-layer field synthesised at slope `s0 and refocused at s0`

with `edge="wrap" and an integer s0` returns the original texture to

5.6e-16; sweeping the slope, the variance of the result peaks at `s0`

(measured exactly on the sweep grid in all 18 texture/slope combinations

listed in the module docstring), and refocusing at `-s0` does *not* —

which is the check that catches a flipped shift sign.

Returns a `(H, W)` 2-D image.

Raises `ValueError`: *lf* not a valid light field, a non-finite or

over-large *slope* (:data:MAX_ABS_SLOPE), unknown *interp* / *edge*.

• 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。

• 算法的正典(作者・年份)与用途见上面的族使用指南。

• lightfield_depth — py -3.11 examples/lightfield_depth.py

*Provenance: lightfield.py — LIGHTFIELD 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

lf_refocus — LIGHTFIELD refocus op