log_image — 2D `arithmetic` op

• Data kinds: image → image

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

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

Usage

Logarithmic compression mapping [0,1] to [0,1] via `log1p(x) / log(2) (normalized so that x=1 gives 1). A tone curve, opposite to exp_image, that compresses the highlights and lifts shadow detail. Stands in for HALCON's log_image` (Calculate the logarithm of an image.).

> The detailed description below is the original text — the summary and the headings are translated.

`a, b` は未使用。ゲイン付き対数変換が欲しい場合は

`lut の log_gain 分岐(a` でゲインを振れる、ただし SEED には未登録)

に近い実装が別途ある。

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 · exp_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).*

log_image — 2D arithmetic op