lf_refocus — LIGHTFIELD `refocus` op

• データ種: lightfield → image2d

• 呼び出し: import lightfield; lightfield.lf_refocus(lf, slope=0.0, *, interp='linear', edge='nearest') (または opslightfield.get("lf_refocus"))

Shift-and-add refocus: the synthetic-aperture image focused at *slope*.

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*.

• サンプルデータカタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

• lightfield_depth — py -3.11 examples/lightfield_depth.py

*Provenance: lightfield.py — LIGHTFIELD operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

lf_refocus — LIGHTFIELD refocus op