tb_cx_ifft — 2D typed op

• 資料種類:cimage → image

• 呼叫:fullseye.apply(img, "tb_cx_ifft", a=0.5, b=0.5)(2-D 的模型是一張圖 + 兩個純量旋鈕 a,b∈[0,1])

*無圖: 該運算子以 cimage 為輸入。從影像開始的 Studio 程式無法到達該型別，請參見下方的可執行範例。*

用法

:func:cx_fft 的反運算: `ifft2(ifftshift(cx))`。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

With `real=True` (default) the real part is returned as an image (the

imaginary part is numerical dust for a spectrum that came from a real image);

with `real=False` the full complex spatial field is returned (holography /

coherent imaging, where the imaginary part carries signal). A real array is

FFT'd first (module convenience), making `cx_ifft` an involution on it.

Typed bridge of the 2d op `cx_ifft 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.

參考(範例資料・文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• (尚無)

型別可銜接的下一個運算子(可接受 image 作為輸入)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

同類別(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 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

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