lens_shading_gain — GFX2D isp op

• 数据种类:image2d → image2d

• 调用: import fullseye as fs; fs.ledger.lens_shading_gain(flat, pattern=None, smooth_sigma=0.0)(要直接调用实现,import gfx2d; gfx2d.lens_shading_gain(flat, pattern=None, smooth_sigma=0.0);从台账取用则 opsgfx2d.get("lens_shading_gain"))

用法

由平场(白板)生成抵消暗角的增益图:逐通道 mean / flat。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

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*.

参考(示例数据・文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者・年份)与用途见上面的族使用指南。

可运行的示例(实际调用该算子并已验证的样例)

• raw_to_display_isp — py -3.11 examples/raw_to_display_isp.py

类型可衔接的下一个算子(可接受 image2d 作为输入)

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

同类别(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 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.