aug_shot_noise — 2D `augmentation` op

• Data kinds: image → image

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

aug_shot_noise: 入力 → 出力

*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).*

Usage

Photon (Poisson) shot noise -- the quantum floor of every image sensor.

The image is interpreted as a normalised photon rate, scaled by the photon

scale `K = 5 + 250*(1-a)`, sampled from a Poisson distribution and scaled

back: `Poisson(v*K)/K. High a` = few photons = very noisy

(SNR ~ sqrt(K); a=0 -> K=255 near-clean, a=1 -> K=5 photon-starved).

`b adds a small dark-current pedestal (0.05*b` in rate units) before

counting, so even a pure-black frame shows dark noise. The RNG is seeded from

(a, b) -> the realisation is fixed per knob setting.

Detailed usage guide

• gallery2d_color_artistic 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.

Try it in Studio

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.

aug_shot_noise 0.50 0.50

▸ Load this pipeline · Load & run

Runnable examples (verified samples that actually call this op)

• gallery2d_color_artistic — py -3.11 examples/gallery2d_color_artistic.py

• sim2real_and_alife — py -3.11 examples/sim2real_and_alife.py

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

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

Same category (`augmentation`)

aug_read_noise · aug_fixed_pattern · aug_motion_blur · aug_vignette · aug_chromatic · aug_rolling_shutter · aug_jpeg_blocks · aug_cutout

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

aug_shot_noise — 2D augmentation op