convert op• Data kinds: qimage → rgbimage
• Call: import fullseye as fs; fs.ledger.quaternion_to_rgb(qimage, allow_scalar: 'bool' = False) -> 'np.ndarray' (implementation को सीधे call करना हो तो import quatimage; quatimage.quaternion_to_rgb(qimage, allow_scalar: 'bool' = False) -> 'np.ndarray', registry से लेना हो तो opsquat.get("quaternion_to_rgb"))
quaternion image का vector भाग, linear RGB के रूप में। → (H, W, 3)।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
The inverse of rgb_to_quaternion — and, by default, a *checked* inverse. A quaternion image that picked up a scalar component somewhere (a Hamilton product with a non-pure quaternion, a monogenic signal handed here by mistake) is refused rather than silently truncated, because dropping the w component is exactly the kind of loss that produces a plausible picture from the wrong data. Pass allow_scalar=True to opt in to the truncation when it is what you meant.
The tolerance is relative to the field's own peak modulus (_MONOGENIC_K_TOL, 1e-9): a quaternion image that really is pure carries |w| at the 1e-17 level after a round trip through two FFTs, and anything with a meaningful scalar part is many orders above that. Nothing real lives in between.
Raises ValueError: *qimage* is not a finite (H, W, 4) array; or it has a non-negligible scalar part and allow_scalar is False.
• quaternion_monogenic family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• quaternion_monogenic — py -3.11 examples/quaternion_monogenic.py
rgbimage को input के रूप में लेते हैं)convert)*Provenance: quatimage.py — QUAT operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.