isp op• 資料種類:image2d → image2d
• 呼叫: import fullseye as fs; fs.ledger.lens_shading_gain(flat, pattern=None, smooth_sigma=0.0)(要直接呼叫實作,import gfx2d; gfx2d.lens_shading_gain(flat, pattern=None, smooth_sigma=0.0);從台帳取用則 opsgfx2d.get("lens_shading_gain"))
由平場(白板)產生抵消暗角的增益圖:逐通道 mean / flat。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
Shoot a uniform white target; vignetting and the micro-lens fall-off make
the corners darker. Multiplying any later frame by this map undoes that.
*smooth_sigma* > 0 Gaussian-smooths the flat first (per channel) so sensor
noise and dust do not become gain speckle. The gain is normalised so the
channel mean stays 1 — the map corrects shape, not exposure.
Ground truth: `lens_shading_correct(flat, lens_shading_gain(flat))` is a
constant frame (each channel equal to its own mean) to 1e-12.
Raises `ValueError`: non-finite input, a zero or negative pixel in
the flat (no gain can be defined there), or a negative *smooth_sigma*.
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• 演算法的正典(作者・年份)與用途見上面的族使用指南。
• raw_to_display_isp — py -3.11 examples/raw_to_display_isp.py
image2d 作為輸入)shadow_cast_2d · dither · raw_black_level · raw_dead_pixel_mask · raw_dead_pixel_correct · lens_shading_correct · raw_apply_gains · raw_demosaic_bilinear
isp)raw_black_level · raw_dead_pixel_mask · raw_dead_pixel_correct · lens_shading_correct · awb_gains · rgb_apply_gains · raw_apply_gains · raw_demosaic_bilinear
*Provenance: gfx2d.py — GFX2D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.