sensorgeneral op• Data kinds: volume × volume → table
• Call: import fullseye as fs; fs.ledger.emva_general_nonuniformity(dark_stack, bright_stack, slope_50, mu_p_50, Rd, highpass='r4') (to call the implementation directly, import sensorgeneral; sensorgeneral.emva_general_nonuniformity(dark_stack, bright_stack, slope_50, mu_p_50, Rd, highpass='r4'); from the registry, opsoptics.get("emva_general_nonuniformity"))
DSNU and PRNU in input (photon) units (General section 8, Eqs. 55, 56, 58, 59).
> The detailed description below is the original text — the summary and the headings are translated.
General は不均一を特性曲線の傾きで入力へ戻す(式 55: 不均一は信号の幅より小さいので曲線を局所的に直線とみなす)。分散は傾きの二乗で割る(式 56)。暗画像の傾きは R_d(式 25)、明るい画像(飽和の約 50 %)の傾きは *slope_50*。DSNU1288 = s_y.dark/R_d [光子] (式 58)、PRNU1288 = √(s²_p.50 − s²_p.dark)/μ_p.50(式 59、比)。列・行・画素の成分(式 37〜39)にも同じ式を当てる(8.3 節の最後の段落)。成分の差が雑音で負になるときは 0 とする。*highpass*: 既定 "r4"(General 8.1 節も Linear と同じフィルタ)、"r3.1"、None。
返り値 {"DSNU1288_p", "DSNU1288_y", "PRNU1288", "dsnu_p": {"col", "row", "pixel"}, "prnu": {...}, "s2_p_dark", "s2_p_50", "linear": Linear の計算(K = 1 のときの値), "highpass"}。
Raises ValueError: sensorchar.emva_spatial_nonuniformity と同じ / slope_50・μ_p.50・R_d が正でない / s²_p.50 < s²_p.dark。
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_emva1288_in_camera_processing — py -3.11 examples/poc_emva1288_in_camera_processing.py
table as input)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
sensorgeneral)emva_general_sensitivity · emva_general_relative_qe
*Provenance: sensorgeneral.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.