typed op• Data kinds: rgbimage → qimage
• Call: fullseye.apply(img, "tb_rgb_to_quaternion", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*No figure: this op takes rgbimage as input. A Studio program starting from an image cannot reach that type — see the runnable examples below for how it is used.*
Embed a colour image as pure quaternions `0 + R i + G j + B k`. → (H, W, 4).
Sangwine's 1996 encoding, and the entry point of the whole colour half of
this module: once a pixel is a quaternion, `q x conj(q)` rotates its colour
and :func:qft2 transforms the three channels as one hypercomplex signal
instead of three unrelated real ones.
The scalar (`w`) component is set to exactly zero — a *pure* quaternion —
because that is what makes the conjugation a 3-D rotation. Values are not
clamped: linear RGB after black-level subtraction legitimately goes negative,
and clipping it would change the colour direction, which is the quantity
every operator downstream reads.
Raises `ValueError: *image_rgb* is not a finite (H, W, 3)` numeric
array, is complex / bool / string-typed / masked, or exceeds
:data:MAX_PIXELS.
Typed bridge of the quat op `rgb_to_quaternion into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.
• 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.
• (none yet)
qimage as input)identity · tb_quaternion_to_rgb · tb_quat_norm · tb_quat_conjugate_image · tb_quat_normalize_image · tb_monogenic_amplitude · tb_monogenic_phase · tb_monogenic_orientation
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 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.