gamma_image — 2D `gray` op

• Data kinds: image → image

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

• HALCON equivalent: gamma_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.

ガンマ補正 `x ** (0.3 + 2.5*a)。a` が 0 に近いほど指数は 0.3 に

近づき暗部を持ち上げ、`a` が 1 に近いほど指数は 2.8 に近づき暗部を潰して

コントラストを強める。HALCON の `gamma_image`（Perform a gamma encoding or

decoding of an image.）の代役。

`a はガンマ指数を 0.3〜2.8 の範囲で振る。b` は未使用。HALCON の実装は

Encode/Decode の切替や AmpFactor など複数パラメータを持つが、ここでは

単純なべき乗写像 1 本に単純化している(近似)。

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 (`gray`)

gamma · invert · scale_clip · equalize · sigmoid · clahe · sk_adapthist · sk_enhance_contrast

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

gamma_image — 2D gray op