tb_quat_conjugate_image — 2D `typed` op

• Data kinds: qimage → qimage

• Call: fullseye.apply(img, "tb_quat_conjugate_image", 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 qimage as input. A Studio program starting from an image cannot reach that type — see the runnable examples below for how it is used.*

Usage

Per-pixel quaternion conjugate `(w, -x, -y, -z)`. → (H, W, 4).

Exact and involutive: `quat_conjugate_image(quat_conjugate_image(q)) is q`

to the last bit (a sign flip is exact in IEEE 754). Agrees with

`pose_quat.quat_conjugate` per pixel, asserted in the tests.

Typed bridge of the quat op `quat_conjugate_image 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.

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept `qimage` as input)

identity · tb_quaternion_to_rgb · tb_quat_norm · tb_quat_normalize_image · tb_monogenic_amplitude · tb_monogenic_phase · tb_monogenic_orientation · tb_quat_color_rotate

Same category (`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).*

tb_quat_conjugate_image — 2D typed op