dichromatic op• Datenarten: rgbimage → rgbimage
• Aufruf: import specularity; specularity.specular_diffuse_split(image_rgb, illuminant_rgb=(1.0, 1.0, 1.0), body_rgb=None, max_rank_ratio=0.1, max_negative_frac=0.02) (oder opsspecular.get("specular_diffuse_split"))
Zerlegt ein lineares RGB-Bild in seinen diffusen (Körper-) und spekularen (Grenzflächen-)Anteil. → (diffuse, specular), beide (H, W, 3).
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
Shafer's dichromatic reflection model writes the radiance of a dielectric as
`I(x) = m_d(x) * L(x) + m_s(x) * G`: a body term carrying the surface
colour `L and an interface term carrying the **illuminant** colour G`.
The specular part therefore occupies a single direction in RGB, and
separating it is a projection with a closed form — no iteration, no
optimisation, no learned prior.
Two regimes, chosen by *body_rgb*:
• **`body_rgb given** — a (3,) colour or an (H, W, 3)` map. Each
pixel solves the 3-equation, 2-unknown least-squares system exactly. This
is the textured-surface path: on a synthetic image built from a known
`(m_d, m_s)` it returns them with a maximum absolute error of 4.0e-15
for a uniform body colour and 2.9e-15 for a per-pixel colour map
(measured in `tests/test_specularity.py`).
• **`body_rgb` omitted** — one material is assumed. The
illuminant-orthogonal part of the image is then exactly rank one, so the
body direction is its leading singular vector; the unobservable component
of `L along G is fixed by requiring m_s >= 0` with the minimum
over the image equal to zero. Maximum absolute error 5.0e-16 on the same
synthetic image. At least one lit pixel must be specular-free — see
below, this is the assumption that actually bites.
*illuminant_rgb* is a direction; only its orientation matters and it is
unit-normalised internally. `(1, 1, 1)` is the white-balanced case. Get it
from :func:illuminant_from_dichromatic_planes when you have two or more
materials in frame.
Two guards protect the uniform-body path, and both are needed — the
adversarial pass found the first one alone lets a two-material image
through:
• *max_rank_ratio* — the second singular value of the illuminant-orthogonal
part over the first. Measured on the synthetic bump: 4.6e-16 noiseless,
0.0175 at 0.5% Gaussian noise, 0.0348 at 1%, 0.0694 at 2%, 0.173 at 5%;
a two-material image with cyclically permuted albedos gives 0.574. The
default 0.1 sits between the 2% and 5% noise measurements. `None`
disables it.
• *max_negative_frac* — the fraction of pixels whose fitted body
coefficient comes out negative, which cannot happen for one material.
This is what catches the case the rank test misses: two albedos whose
illuminant-orthogonal chromaticities are nearly anti-parallel still span
one line, and that image measured 0.0815 on the rank test — under the
default threshold, i.e. accepted — while 50% of its pixels fit a negative
body coefficient. With both guards disabled that image returns a diffuse
map wrong by 1.03 in absolute radiance on an image whose maximum is 0.99,
with no exception and no NaN. `None` disables it.
**Both guards bound gross violations only, and that is not fixable by a
better threshold.** A texture whose chromaticity drifts *along* the body
direction rather than away from it measured a rank ratio of 0.0641 — under
the default — with every body coefficient positive, so neither guard fires,
and the returned diffuse map was wrong by 0.198. It cannot be separated from
noise by any threshold, because it is the same measurement: 1% Gaussian
noise on that scene gives 0.0348 and 2% gives 0.0694, and the texture sits
between them. The answer for a surface that might be textured is
`body_rgb`, not a cleverer number here.
Honest limits. (1) *Without `body_rgb`, one lit pixel must be
specular-free.* The rendered-lobe measurement shows exactly what it costs
when none is: for a Blinn-Phong highlight on a Gaussian bump the maximum
diffuse error is 6.5e-11 at shininess 200 (where the lobe tail underflows to
9.1e-11), 0.0019 at shininess 48 (tail 0.0026) and 0.175 at shininess 8
(tail 0.243) — the error *is* the darkest highlight in the frame, because
that is the constant the constraint cannot see. (2) *The known-body path is
conditioned by `1/(1 - b^2) where b` is the cosine between the body
and illuminant colours.* A texture reaching `|b| = 0.99999` (an almost
neutral grey under a white lamp, amplification 6.4e+04) measured 5.9e-12
against 2.9e-15 for the same texture kept at `|b| <= 0.965`. Near-grey
surfaces are where colour-based separation is weakest, and no amount of
arithmetic care changes that.
Raises `ValueError: *image_rgb* is not (H, W, 3)`, is complex /
masked / non-finite / string-typed, or exceeds :data:MAX_PIXELS;
*illuminant_rgb* is not a non-zero 3-vector; the image is identically zero;
the image has no component orthogonal to the illuminant (body colour
parallel to it, so no split exists); either guard above fires; *body_rgb*
has the wrong shape, a zero-length colour, or is parallel to the
illuminant.
Returns `(diffuse, specular) with diffuse + specular == image_rgb` to
machine precision in both regimes: measured 1.1e-16 on the uniform-body
route, which forms the diffuse as `image - specular`, and 2.1e-15 on the
known-body route, which forms both parts from the solved coefficients and
so accumulates a little more.
• Leitfaden zur Familie specular_photometric
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.
• specular_photometric — py -3.11 examples/specular_photometric.py
rgbimage als Eingabe)specular_coefficient_map · specular_free_transform · illuminant_from_dichromatic_planes
dichromatic)specular_coefficient_map · specular_free_transform · illuminant_from_dichromatic_planes
*Provenance: specularity.py — SPECULAR Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.