raw_apply_gains — GFX2D `isp` op

• Data kinds: image2d × vector → image2d

• Call: import fullseye as fs; fs.ledger.raw_apply_gains(raw, gains, pattern='RGGB') (to call the implementation directly, import gfx2d; gfx2d.raw_apply_gains(raw, gains, pattern='RGGB'); from the registry, opsgfx2d.get("raw_apply_gains"))

Usage

Multiply a Bayer frame by per-channel gains (3 values `R, G, B or 4 values R, G1, G2, B) and clip to [0, 1]` — white balance applied before demosaicing, which is where a real ISP does it (interpolating unbalanced channels smears the cast across colours).

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)

• raw_to_display_isp — py -3.11 examples/raw_to_display_isp.py

Ops the type connects to (they accept `image2d` as input)

shadow_cast_2d · dither · raw_black_level · raw_dead_pixel_mask · raw_dead_pixel_correct · lens_shading_gain · lens_shading_correct · raw_demosaic_bilinear

Same category (`isp`)

raw_black_level · raw_dead_pixel_mask · raw_dead_pixel_correct · lens_shading_gain · lens_shading_correct · awb_gains · rgb_apply_gains · raw_demosaic_bilinear

*Provenance: gfx2d.py — GFX2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

raw_apply_gains — GFX2D isp op