refocus op• Data kinds: lightfield → image2d
• Call: import fullseye as fs; fs.ledger.lf_synthetic_aperture(lf, slope=0.0, mask=None, *, reduce='mean', interp='linear', edge='nearest') (implementation को सीधे call करना हो तो import lightfield; lightfield.lf_synthetic_aperture(lf, slope=0.0, mask=None, *, reduce='mean', interp='linear', edge='nearest'), registry से लेना हो तो opslightfield.get("lf_synthetic_aperture"))
आकार दिए गए aperture से refocus करता है — और reduce="median" के साथ, occluders के आर-पार भी।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
Same shift-and-add geometry as lf_refocus, with two additions:
• *mask* — a (V, U) weight array from 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*.
• lightfield_depth family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• lightfield_depth — py -3.11 examples/lightfield_depth.py
• poc_compound_eye — py -3.11 examples/poc_compound_eye.py
image2d को input के रूप में लेते हैं)lf_from_mla · lf_disparity_to_depth · lf_all_in_focus
refocus)lf_refocus · lf_focal_stack · lf_aperture_mask
*Provenance: lightfield.py — LIGHTFIELD operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.