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)
*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*
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.
The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
exp_image 0.50 0.50
▸ Load this pipeline · Load & run
• 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.