exp_image — 2D `arithmetic` op

• Data kinds: image → image

• Call: fullseye.apply(img, "exp_image", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

• HALCON equivalent: exp_image (the HALCON reference is a useful guide to its meaning and parameters)

Usage

> This operator's description has not been translated yet. The original text follows as it is.

`(exp(x) - 1) / (e - 1)` という指数写像で [0,1] を [0,1] に写す(x=1 で

ちょうど 1 になるよう正規化してある)。低い階調を圧縮し明部を強調する

コントラスト強調で、`log_image` とは逆向きのカーブ。HALCON の

`exp_image`（Calculate the exponentiation of an image.）の代役。

`a, b は未使用。底(e`)や倍率を変える調整点は無い —— 曲率を変えたい

場合は `gamma_image(a` でべき指数を振れる)を使う。

Detailed usage guide

• gallery2d_gray_arith family guide

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.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• gallery2d_gray_arith — py -3.11 examples/gallery2d_gray_arith.py

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

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

Same category (`arithmetic`)

abs_image · sqrt_image · log_image · sin_image · cos_image · asin_image · acos_image · atan_image

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

exp_image — 2D arithmetic op