typed op• Data kinds: cimage → cimage
• Call: fullseye.apply(img, "tb_cx_apply_transfer_function", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
Multiply a centred spectrum by a filter `H -> (H, W)` complex128.
The honest primitive under `ops.lowpass / ops.highpass`, but
complex-preserving: the filtered spectrum is returned as a complex field
(not immediately inverted and real-cast), so it can be chained, inspected, or
handed to :func:cx_ifft. `H` is a same-shape transfer function laid out in
the *centred* convention of :func:cx_fft (DC at the centre); it may be real
(a magnitude mask) or complex (a phase-shifting filter). A real `cx` is
FFT'd first (module convenience).
Typed bridge of the 2d op `cx_apply_transfer_function 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)
cimage as input)identity · tb_cx_ifft · tb_cx_magnitude · tb_cx_phase · tb_cx_real · tb_cx_imag · tb_cx_log_magnitude · tb_cplx_cr_residual
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.