pixelshift op• Data kinds: video × matrix → rgbimage
• Call: import fullseye as fs; fs.ledger.pixel_shift_merge(frames, shifts, pattern='RGGB', scale=1, motion_threshold=0.0, noise_sigma=0.0) (to call the implementation directly, import pixelshift; pixelshift.pixel_shift_merge(frames, shifts, pattern='RGGB', scale=1, motion_threshold=0.0, noise_sigma=0.0); from the registry, opsoptics.get("pixel_shift_merge"))
Merge pixel-shift frames by binning them onto the grid with the nominal shifts. No interpolation (only the mean of the samples at each grid point).
> The detailed description below is the original text — the summary and the headings are translated.
*frames*: (N, H, W) の生の画像(pixel_shift_capture の返り値、Bayer か白黒)。*shifts*: (N, 2) の公称のシフト(pixel_shift_pattern を error_px=0 で)。1/scale 画素の格子に乗っていなければ拒否する(任意のずれは astrostack.drizzle_resample)。*pattern*: Bayer の並び(None = 白黒)。*scale*: 1 = 同じ格子(1 画素シフト 4 枚 → 各画素に R・G・B)、2 = 半画素の格子(half4 / 16shot)。*motion_threshold*: > 0 なら pixel_shift_motion_mask で動いた格子点を見つけ、そこ(と 8 近傍)だけをシフト (0, 0) の 1 枚から作った像(Bayer は gfx2d.raw_demosaic_bilinear)に差し戻す —— 動いた所は「ピクセルシフトしなかった」画質に戻るが、櫛状の破綻は消える。0 なら差し戻さない。*noise_sigma*: 動き検出の雑音 σ(0 = 推定)。
返り値: (H·scale, W·scale, 3)(Bayer)/ (H·scale, W·scale)(白黒)の float64。
端の扱い: シフトのぶん、格子の端(最大シフトの幅)にはどの枚の標本も来ない色がある。そこは (0, 0) の 1 枚から作った像で埋める(黙って 0 にしない)。内側に標本の来ない格子点・色があれば(例: 1 画素シフト 4 枚を scale=2 で合わせる、2 枚だけの Bayer)、このシフト列では格子を埋められないので ValueError。
Raises ValueError: frames・shifts の形・非有限 / 格子に乗らないシフト / scale が 1〜4 でない / 内側の格子点に標本の来ない色がある / motion_threshold > 0 なのにシフト (0, 0) の枚が無い・動きを検出できない。
Every optics op validates its input before computing (nothing slips through silently):
• Units are baked into the argument name — _mm / _um / _deg / _mrad. Confusing mm with µm does not crash; it yields a plausible-looking wrong answer, so the name prevents it. Nothing here guesses the unit from the magnitude.
• Strings raise ValueError — float('50') succeeds, so an unparsed configuration value would slip through as a length (measured: thin_lens('50', '200') returned a plausible 66.667 mm). bool is refused too, as the implicit promotion True == 1.
• complex / masked arrays raise ValueError (real-valued slots only; silently dropping the imaginary part or peeling off the mask is refused). NaN/Inf raises ValueError on every input.
• Division by zero and its relatives are refused by name: focal length 0, radius of curvature 0, refractive index <= 0, a fully opaque aperture (all zeros, so the normalisation is 0/0), a PSF whose sum is <= 0, a Stokes vector with S0 = 0, and an object sitting at the front focal point (the image is at infinity).
• Only two ops return a non-finite value, and both state it as a contract: depth_of_field returns far_mm = inf beyond the hyperfocal distance (that is what the hyperfocal distance means), and gaussian_beam returns wavefront_radius_mm = inf at the waist (the radius of curvature of a plane wavefront). Both also return a finite companion (far_is_infinite / curvature_per_mm). Any other silent NaN/Inf is detected internally and raises ValueError — "float64 overflowed" and "the answer is infinite" are different claims, so the first is never returned wearing the face of the second.
• Size caps: generated grids are capped by optics.MAX_GRID (4096); supplied fields/PSFs/apertures by optics.MAX_FIELD_ELEMENTS (2^24); ABCD element chains by optics.MAX_SYSTEM_ELEMENTS (1024); Zernike by MAX_ZERNIKE_TERMS (512) / MAX_ZERNIKE_ORDER (40) / MAX_ZERNIKE_BASIS (2^25). This closes, fail-closed, the paths where a small argument triggers a huge internal allocation (measured: n_max=40 × 4096² needs 108 GB).
• Physically impossible states are refused too: a Stokes vector with degree of polarisation > 1, negative transmittance, negative intensity, and invalid Zernike indices such as n-|m| odd.
• 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.
• poc_pixel_shift — py -3.11 examples/poc_pixel_shift.py
rgbimage as input)clearcoat_shade · wetness · defocus_blur · diffraction_blur · sensor_capture · pixel_shift_capture · false_color_metric
pixelshift)pixel_shift_pattern · pixel_shift_capture · pixel_shift_motion_mask · false_color_metric · pixel_shift_resolution_budget
*Provenance: pixelshift.py — OPTICS 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.