tb_specular_diffuse_split — 2D typed op

데이터 종류: rgbimagergbimage

호출: fullseye.apply(img, "tb_specular_diffuse_split", a=0.5, b=0.5)(2-D 는 이미지 1 장 + 스칼라 노브 2 개 a,b∈[0,1] 모델)

사용법

선형 RGB 이미지를 확산(바디) 성분과 정반사(인터페이스) 성분으로 분리. → (diffuse, specular), 둘 다 (H, W, 3).

> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.

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.

Typed bridge of the specular op `specular_diffuse_split into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives max_rank_ratio (default 0.1) and b drives max_negative_frac` (default 0.02).

참고(샘플 데이터·문헌)

• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.

• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.

실행 가능한 예제(이 연산자를 실제로 호출하는 검증된 샘플)

• (아직 없음)

타입이 이어지는 다음 연산자(rgbimage 를 입력으로 받는 것)

identity · tb_wetness · tb_sensor_capture · tb_specular_coefficient_map · tb_specular_free_transform · tb_rgb_to_quaternion

같은 카테고리(typed)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal


*Provenance: ops.py — 2D 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.