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)
Maps [0,1] to [0,1] with the exponential mapping `(exp(x) - 1) / (e - 1) (normalized so that x=1 gives exactly 1). This is a contrast enhancement that compresses low tones and emphasizes the highlights, a curve running opposite to log_image. Stands in for HALCON's exp_image` (Calculate the exponentiation of an image.).
> The detailed description below is the original text — the summary and the headings are translated.
`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。
• gallery2d_gray_arith family guide
• 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.
• gallery2d_gray_arith — py -3.11 examples/gallery2d_gray_arith.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.