colordiff op• Data kinds: lab × lab → image2d
• Call: import fullseye as fs; fs.ledger.delta_e_2000(lab1, lab2, kL=1.0, kC=1.0, kH=1.0) (to call the implementation directly, import imgmetrics; imgmetrics.delta_e_2000(lab1, lab2, kL=1.0, kC=1.0, kH=1.0); from the registry, opsimgmetrics.get("delta_e_2000"))
CIEDE2000 colour difference (CIE 142-2001).
The 3 places where implementations tend to slip -- the mean hue angle (handling the 0/360 wrap), the 275° rotation term, and near-zero chroma (handling atan2(0, 0)) -- are pinned with the 34 verification pairs of Sharma, Wu & Dalal (2005) (CIEDE2000_TEST_PAIRS / tests/test_imgmetrics.py).
lab1, lab2 : array_like
Arrays whose last axis is (L*, a*, b*). They are broadcast.
kL, kC, kH : float
Parametric factors for viewing conditions. The default is 1, the reference condition.
ndarray
ΔE00 (with the last axis dropped).
• image_difference_metrics family guide
• colorimetry — Colorimetry and spectra — colour is fixed only by spectrum × illuminant × observer
• 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.
• image_quality_metrics — py -3.11 examples/image_quality_metrics.py
image2d as input)mse · rmse · psnr · ssim · ms_ssim · ssim_map · image_entropy · joint_entropy
colordiff)*Provenance: imgmetrics.py — IMGMETRICS 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.