https://wiki.yanding.com/ 2026-08-07T06:02:44+00:00 https://wiki.yanding.com/ https://wiki.yanding.com/lib/tpl/myconfluence/images/favicon.ico text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%9B%BE%E5%8D%A1:%E5%A6%82%E4%BD%95%E9%80%89%E6%8B%A9%E5%90%88%E9%80%82%E5%9B%BE%E5%8D%A1&rev=1784811078&do=diff 如何选择合适图卡？ 在图像质量评估（如摄像头、显示设备、激光雷达等）中，测试图卡是标准化、可复现的核心工具 —— 它能将 “主观视觉感受” 转化为 “客观数据指标”。本文将从基础概念出发，拆解图卡的用途、参数与选型逻辑、图卡材质与装裱、图卡的使用与存储，帮助你精准匹配测试需求以及正确使用图卡。$tan\frac{DFOV}{2}=\frac{D /2}{S}$$D=2S\frac{DFOV}{2}$$OD = \log_{10}\left( \frac{I_{0}}{I} \right)$$实际最小物理精度（微米）=\frac{25400}{DPI}$… text/html 2025-11-18T07:38:16+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:qc_t_1128-2019_%E6%B1%BD%E8%BD%A6%E7%94%A8%E6%91%84%E5%83%8F%E5%A4%B4_%E5%9B%BE%E5%83%8F%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88&rev=1763451496&do=diff 《QC/T 1128-2019：汽车用摄像头》图像解决方案 概述 《QC/T 1128-2019：汽车用摄像头》是我国汽车行业推荐性标准，2019 年发布实施，适用于汽车行驶辅助、环视、倒车等场景的车载摄像头，涵盖光学性能、成像质量、可靠性等相关参数要求与测试方法。本篇文章将重点解读其图像性能测试内容。$\text{SNR (dB)} = 20\log_{10}\left(\frac{\text{Si}}{\text{Ni}}\right)$${Si}$\( i \)${Ni}$\( i \)$$\text{DR} = 20 \left( D_{\text{SNR}=1} - D_{\text{SNR}=\text{MAX}} \right)$$$D_{\text{SNR}=1}$$D_{\text{SNR}=\text{MAX}}$$t_{on}$$t_{SL}$$$\theta_{\text{icolor}} = \begin{cases} \arctan\left( \dfrac{v'_{ti} - v'_{tr}}{u'_{ti} - u'_{tr}} \right) … text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E5%8A%A8%E6%80%81%E8%8C%83%E5%9B%B4&rev=1784811078&do=diff 动态范围 一、什么是动态范围 动态范围（Dynamic Range，简称DR） 对于图像信号来说，指可变化信号最大值与最小值的比值；用于描述成像设备能同时记录真实场景的最暗区域到最亮区域的最大亮度范围，常用分贝（dB)、曝光数值（EV）或 ”档“（f-stops) 为单位计量。 text/html 2025-11-07T10:06:22+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%9B%BE%E5%8D%A1:%E5%9B%BE%E5%8D%A1%E7%9A%84%E4%BD%BF%E7%94%A8_%E7%BB%B4%E6%8A%A4%E5%92%8C%E5%82%A8%E5%AD%98%E6%8C%87%E5%8D%97&rev=1762509982&do=diff 图卡的使用、维护和储存指南 测试图卡是影像质量评估中不可或缺的基准工具，其自身的完好性直接决定了测试结果的准确性。不当的使用和储存环境会导致图卡褪色、划伤或变形，从而使其失去标定价值。 text/html 2026-07-30T05:50:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E6%8C%87%E6%A0%87:mtf_sfr_%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90%E4%B8%8E%E6%B5%8B%E8%AF%95%E5%AE%9E%E8%B7%B5&rev=1785390609&do=diff 成像系统的“视力表”：MTF/SFR 深度解析与测试实践 当我们谈论成像系统的分辨率（客观物理极限），以及锐度与清晰度（主观视觉感知） 时，MTF/SFR 是量化这些主、客观维度的核心指标，它通过 MTF 曲线，直观地揭示了系统在不同细节尺度下的对比度传递能力。$M = \frac{I_{\max} - I_{\min}}{I_{\max} + I_{\min}}$$ f_{N}= 1 / (2 x PixelPitch)$$$Q = \frac{\sum_{i=1}^{N} SFR_i \, CSF_i}{\sum_{i=1}^{N} CSF_i}, \quad i = 1, 2, \dots, N \tag{L.2}$$\(SFR_i\)\(i\)\(CSF_i\)\(i\)\(N\)$$csf_{\text{lum}}(f) = \frac{(a \cdot f^c) e^{-bf}}{K} \tag{L.1}$$$a = 75$$b = 0.2$$c = 0.8$$K = 102.16$$f$$f_{cut}​ $$$f_{\text{cycles/degree}} = \f… text/html 2025-12-05T09:41:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:riqa%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6:riqa-camera%E8%89%B2%E5%BD%A9%E6%A8%A1%E5%9D%97&rev=1764927706&do=diff RIQA—Camera色彩分析模块 RIQA—Camera色彩分析模块用于评估成像系统的色彩指标，包括色差、亮度、饱和度等方面的数据。该模块支持标准24色卡、标准140色卡以及标准14色卡的测试。 色彩模块支持的测试图卡：$ CIE$$L_{ab}$ text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide&rev=1784811078&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) How to Choose the Right Test Chart? In image quality evaluation (e.g., for cameras, display devices, LiDAR, etc.), test charts are standardized and reproducible core tools—they translate $tan\frac{DFOV}{2}=\frac{D /2}{S}$$D=2S\frac{DFOV}{2}$$OD = \log_{10}\left( \frac{I_{0}}{I} \right)$$实际最小物理精度（微米）=\frac{25400}{DPI}$ text/html 2025-12-23T01:56:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_15739_%E5%99%AA%E5%A3%B0%E6%B5%8B%E8%AF%95&rev=1766454990&do=diff ISO 15739：噪声测试 概述 ISO 15739标准规定了数字相机噪声（Noise)和动态范围 (Dynamic Range)​的测试方法。 标准： ISO 15739 Photography — Electronic still-picture imaging — Noise measurements 技术委员会： ISO/TC 42 Photography 术语和定义${L_{j}}$$g(L_{j})$$$ g(L_{j}) = \frac{1}{2} [ \frac{ I(L_{j})-I(L_{i}) } {L_{j}-L_{i} } + \frac { I(L_{k}) - I(L_{j}) } {L_{k}-L_{j}} ] $$$I(L_{j})$$L_{j}$$L_{i}$$L_{k}$$L_{j}$$$ Q_{total} = \frac{ g(L_{j})* L_{j} }{ \varrho_{total}… text/html 2026-07-23T11:59:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%BA%B9%E7%90%86%E4%B8%A2%E5%A4%B1&rev=1784807988&do=diff 纹理丢失 一、纹理的概念 在数值图像领域，纹理通常是指低对比度的细节。举例来说，一棵树上的叶片或一片草原上的每颗草都是细节或者叫作纹理。相机原则上要能重现这些细节。对于相机来说，要在低光照并且使用更高ISO灵敏度的场景中从不想要的噪声中区分出纹理是极具挑战的事情。因此，对图像进行降噪处理时通常会导致纹理丢失。 text/html 2025-10-31T06:58:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:riqa%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6:riqa-camera%E7%81%B0%E9%98%B6%E6%A8%A1%E5%9D%97&rev=1761893899&do=diff RIQA-camera灰阶分析模块 灰阶（Grayscale）是指图像中从最暗（黑色）到最亮（白色）之间的连续亮度层级。该模块支持 12 阶、20 阶、36 阶等多规格灰阶测试图卡（透射式和反射式）的分析，同时可调用模块中的 Single SNR 功能，对指定区域进行针对性分析，用于分析动态范围、灰阶响应、信噪比、白平衡等指标。 text/html 2025-10-31T07:00:01+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:riqa%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6:riqa-camera%E7%95%B8%E5%8F%98%E6%A8%A1%E5%9D%97&rev=1761894001&do=diff RIQA-Camera畸变模块 畸变是光学系统（如镜头）因视场不同位置的放大率不一致，导致被摄物体的真实几何形状在成像中发生扭曲（如直线变曲线）的几何失真现象。该模块支持点图和棋盘格图卡 text/html 2025-11-04T08:12:43+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:ieee_2020-2024_flare%E6%B5%8B%E8%AF%95&rev=1762243963&do=diff IEEE 2020-2024标准Flare测试 一、Flare（眩光）的定义 Flare（眩光）：指的是非预设光路传播至像面的非成像光线，会导致图像的对比度降低并产生不良成像伪影。在该标准中，“眩光”(Flare) 和 “杂散光”（Stray light) 为同义词，可互换使用。$$F=\frac{S_{Black}}{S_{White}}\times 100\%$$$S_{Black}$$S_{White}$ text/html 2026-02-26T08:42:43+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E4%BA%AE%E5%BA%A6%E5%AF%B9%E6%AF%94%E5%BA%A6%E5%A4%8D%E7%8E%B0&rev=1772095363&do=diff CMS亮度对比度复现 定义： CMS亮度对比度复现测试，通过模拟真实驾驶环境的光照挑战，验证 CMS 在日光直射、散射环境光线、黄昏、夜间各类光照场景下的对比度保持能力，评估其是否能保持稳定的画面视觉清晰度，避免因亮暗异常、眩光丢失关键信息，进而保障驾驶安全并满足法规强制要求。$L_{High}$$L_{Low}$$CR = \frac{L_{monitor/chart/white/ambient}}{L_{monitor/chart/black/ambient}}$ text/html 2025-10-31T07:20:23+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%9B%BE%E5%8D%A1:%E5%9B%BE%E5%8D%A1%E6%9D%90%E8%B4%A8%E9%80%89%E6%8B%A9%E6%8C%87%E5%8D%97&rev=1761895223&do=diff 图卡材质选择指南 图卡是光学检测、成像系统测试等领域的核心工具，其材质直接影响测试精度、使用寿命与适用场景。合理选择图卡材质，需结合测试模式（反射/透射）、分辨率要求、环境适应性等需求，对各类材质的优缺点进行全面分析。 text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%95%B8%E5%8F%98&rev=1784811078&do=diff 畸变 一、什么是畸变？ 畸变（Distortion）是指光学系统对物体所成的像相对于物体本身产生的几何失真。它由透镜边缘与中心区域的横向放大倍率不一致引起。畸变仅改变物体的空间几何形状，而不影响图像的清晰度（分辨率）。 text/html 2026-07-23T12:51:17+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E6%8C%87%E6%A0%87:%E6%9D%82%E5%85%89_flare&rev=1784811077&do=diff 杂光 生活中，你是否遇到过这样的情况：逆光拍摄时，整个画面像蒙上了一层 “薄纱”，画面对比度降低且出现圆形光斑（见下图）。这些现象均是杂光造成的！杂光会降低图像对比度、掩盖细节，并可能引入干扰信息，对成像质量与分析结果产生负面影响。因此，对杂光的测试是数字相机成像质量测试的关键一环。本文将为大家介绍数字相机杂光现象的原理！ $$F = \frac{S_{black}}{S_{white}} \times 100\%$$$2\text{cd/m}^2$$\text{Mcd/m}^2$$\text{arcmin}$$FlareAverage_{dB \theta，\phi}$$$FlareAverage_{dB \theta，\phi}=avg(Flare_{dB \theta，\phi}(x,y))$$$FlareAverage_{dB }$$\theta$${\phi}$$Flare_{dB }$$$FlareWorst_{dB \theta，\phi}=\max_{x,y}(Flare_{dB\theta,\phi}(x, y))$$$FlareWorst_{dB}$$\theta… text/html 2026-04-16T08:49:20+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_16505_cms%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F%E6%B5%8B%E8%AF%95&rev=1776329360&do=diff ISO 16505：CMS色彩还原测试 色彩还原（Colour rendering） 指摄像机监视系统（CMS）将目标图卡的原始色彩在显示器上准确再现的能力。 指标（ISO 16505 6.8.3）： 对于色彩还原，显示器上图卡色块再现颜色的色调角应满足以下要求。颜色坐标基于 CIE1976 色彩空间进行描述： $(u'_r′ , v'_r )$$(u'_{it} ,v'_{it})$$（Δu′=u'_{it} - u'_r、Δv′=v'_{it} - v'_r ）$$\left( (u'_{it} - u'_r) \geq 0 \text{且} (v'_{it} - v'_r) \geq 0 \right)：\theta_{icolor} = \arctan\left( \frac{v'_{it}-v'_r}{u'_{it}-u'_r} \right)$$\left( (u'_{it} - u'_r) < 0 \text{且} (v'_{it} - v'_r) \geq 0 \right)： \theta_{icolor} = 180^\circ + \arctan\left(… text/html 2025-10-31T06:57:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:riqa%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6:riqa-camera%E5%88%86%E8%BE%A8%E7%8E%87%E6%A8%A1%E5%9D%97&rev=1761893864&do=diff RIQA-Camera分辨率模块 分辨率用于评估成像系统（如相机、镜头等）对不同空间频率的细节再现能力。此模块支持多种主流测试靶标分析，包括斜边靶标、线对靶标、西门子星靶标及枯叶图靶标，能满足不同场景下的分辨率评估需求。 text/html 2026-07-27T03:27:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=wiki:langswitch_map&rev=1785122828&do=diff  Language Switch Map 维护说明： * 第一列是中文页面ID * 第二列是英文页面ID * 只改表格，不要改格式 * 新增映射时一行一条 中文页ID 英文页ID yanding:成像基础知识:光学:几何光学:主光线角 text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7&rev=1784807987&do=diff 成像质量评价 概述 成像质量评价（Image Quality Assessment, IQA）指在给定条件（如相机的被摄场景、照明环境及显示设备的输入等）下，对成像系统的成像性能（如分辨率、噪声、畸变、色彩、动态范围等）进行主客观分析与评估。成像质量直接影响图像的实用价值 —— 例如人类观察者的视觉体验（如欣赏照片或影片）或目视效果（如使用 text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E8%89%B2%E5%B7%AE&rev=1784807987&do=diff 色差 一、什么是色差 色差，也称为“色边”或“紫边”，是一种常见的光学问题，当透镜不能将所有波长的颜色聚焦到同一焦平面时，或当颜色的波长聚焦在焦平面的不同位置时，就会出现这种问题。色差是一种常见的镜头像差现象，常在图像最暗或最亮的边界区域显现出彩色条纹或紫色条纹。它是如何产生的呢？ text/html 2026-01-29T07:35:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E7%81%B0%E5%BA%A6%E7%AD%89%E7%BA%A7%E5%A4%8D%E7%8E%B0&rev=1769672134&do=diff CMS灰度等级复现 测试方法： 在监视器显示灰度等级测试图卡，测量监视器上显示的每个灰色块的亮度，并按公式（1）计算每个灰色块的明度，再按公式（2）计算相邻灰色框块的明度差，需满足图卡\[ L_i^* = \begin{cases} 116 \times \left( \dfrac{Y_i}{Y_{12}} \right)^{1/3} - 16, & \dfrac{Y_i}{Y_{12}} > 0.008856 \\ 903.3 \times \left( \dfrac{Y_i}{Y_{12}} \right)^{1/3}, & \dfrac{Y_i}{Y_{12}} \leq 0.008856 \end{cases} \tag{1} \]$\Delta L^* = L_{i+1}^* - L_i^* \tag{2} $… text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%99%BD%E5%B9%B3%E8%A1%A1&rev=1784807987&do=diff 白平衡 我们生活的环境丰富多彩，一把红色的雨伞，一个黄色的海滩睡椅或者一个干净的蓝色天空。白平衡使用在相机中是为了在拍摄物体时能够获得正确的颜色。除了自动颜色调整，也能使用半自动和手动进行调节。 text/html 2026-07-23T12:51:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E9%94%90%E5%BA%A6&rev=1784811079&do=diff CMS锐度 CMS为什么要测锐度？ 摄像头监控系统CMS（Camera Monitor System）作为传统光学后视镜的电子化替代，通过外部摄像头和舱内显示屏的组合为驾驶员提供车外视野。 而图像锐度（Sharpness）直接决定了CMS成像呈现细节的能力，对行车安全至关重要，直接影响驾驶员能否清晰感知监视器显示的后方来车细节（如：车灯轮廓、车牌、行人、路标等信息）。$$\text{MTF}50_{\langle 1:1 \rangle} \geq \frac{1}{2}\text{MTF}10_{\text{MIN}\langle 1:1 \rangle} \left[ \frac{\text{LW}}{\text{PH}} \right]$$$$\text{MTF}50_{\langle 1:1 \rangle} \geq \frac{1}{2} \times \left( \frac{1}{2} \text{MTF}10_{\text{MIN}\langle 1:1 \rangle} \right) \left[ \frac{\text{LW}}{\text{PH}} … text/html 2026-06-05T06:39:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_18844_%E6%9D%82%E5%85%89%E6%B5%8B%E8%AF%95&rev=1780641584&do=diff ISO 18844：杂光测试 概述 ISO 18844:2017标准规定了数字相机杂光(Flare)的测量方法。 使用标准： ISO 18844:2017 Photography — Digital cameras — Image flare measurement 技术委员会： ISO/TC 42 Photography 原理 摄影领域的相机杂光测量标准为 ISO 18844:2017。其核心逻辑是是在均匀照明或均匀发光的白色背景上，设置多个低反射/低透射的圆形黑色区域（即高密度光阱（黑点）的对角线阵列，见下图）。通过计算图像中黑色区域与白色背景的亮度比值，即杂光指数F，来定量评估杂光的严重程度。F值越小，杂光对像质的影响越小。 $$F=\frac{S_{Black}}{S_{White}}\times 100\%$$$S_{Black}$$S_{White}$$\frac{|E_\mathrm{max}-E_\mathrm{avg}|}{E_\mathrm{avg}}<0.05,\quad \frac{|E_\mathrm{min}-E_\mathrm{av… text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E5%87%A0%E4%BD%95%E7%95%B8%E5%8F%98&rev=1784811078&do=diff CMS几何畸变 概念 在车载摄像头监控系统（CMS）中，畸变指成像结果与理想投影模型的偏差，其定义随理想基准不同而变化。 为适配工程应用，主要分为两类： * TV 畸变：以单一参考值表征画面整体弯曲程度，是快速评估系统畸变水平的实用指标。$h_{ideal}$$\text{RadialDistortion} = \frac{\Delta h}{h_{ideal}} = \frac{h_{monitor} - h_{ideal}}{h_{ideal}} = \frac{h_{monitor}}{h_{ideal}} - 1$$h_{monitor}$$h_{ideal}$$h_{monitor}$$h_{monitor}(i) = \frac{1}{2}\left[ w_{monitor}(i) - w_{monitor}(i_{centre}) \right]$$w_{monitor}(i)$$i$$i_{centre}$$h_{ideal}$$h_{monitor}$$h_{ideal}$… text/html 2026-07-23T12:54:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F:%E6%BF%80%E5%85%89%E9%9B%B7%E8%BE%BE:%E8%A7%92%E5%BA%A6%E5%88%86%E8%BE%A8%E7%8E%87&rev=1784811274&do=diff 角度分辨率 一、什么是角度分辨率？ 角度分辨率是指激光雷达在扫描探测过程中，相邻两个激光探测点主轴线在测距中心处所形成的夹角。根据扫描方向，可分为水平角度分辨率与垂直角度分辨率$\Delta L$$$\Delta L = d \cdot \tan(\theta) \approx d \cdot \theta \quad (\theta \text{ 以弧度计})$$$(d_{\text{Nmin}} + 1\ \text{m})_{-5}^{+5}\ \text{cm}$ text/html 2026-07-23T11:59:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E5%99%AA%E5%A3%B0&rev=1784807988&do=diff 噪声 噪声的定义及来源 在成像领域，噪声通常指在图像采集、传输或处理过程中引入的非目标信息的随机干扰信号，表现为亮度或颜色的不规则变化（如颗粒感、杂色或不规则斑点），直接影响图像的清晰度与信息可靠性。 text/html 2026-06-23T02:59:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_16505_cms%E6%99%AF%E6%B7%B1%E6%B5%8B%E8%AF%95&rev=1782183590&do=diff ISO 16505：CMS景深测试 定义： 景深是电子后视镜在不同物距下，成像分辨率始终满足车载法规阈值、保障驾驶员清晰识别后方物体的距离范围。与摄影景深不同，CMS景深通过MTF10量化判定，核心关注分辨率是否达标，而非清晰范围的大小。$$MTF10_{(1:1)} \geq 0,9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$$MTF10_{\text{MIN}(1:1)/\text{hor}} = \left( \frac{W_{\text{monitor}/\text{hor}}}{W_{\text{monitor}/\text{hor}/\text{min}}} \right) \cdot M_{\text{mirror}/\text{avg}} \cdot \alpha_{\text{mirror}/\text{hor}/\text{… text/html 2026-02-13T02:08:39+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F&rev=1770948519&do=diff CMS色彩还原 概念 CMS色彩还原是指摄像头监视系统（CMS）通过外部摄像头捕捉车辆周围场景信息后经图像处理、传输等环节后，在车内监视器上准确复现原始场景色彩的能力。它涵盖了对色调、饱和度、明度等色彩属性的精准还原，确保监视器呈现的色彩与实际场景中物体的固有色彩保持一致或在可接受的偏差范围内。 text/html 2026-07-23T11:59:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%81%B0%E9%98%B6%E5%93%8D%E5%BA%94&rev=1784807988&do=diff 灰阶响应 一、灰阶的概念 所谓灰阶，就是将最亮和最暗之间的亮度变化划分为不同的层级，通常可粗略划分成七级，即白、灰白、浅灰、灰、深灰、浅黑、黑，每一级表示一个亮度变化，在很大程度上体现了图像在不同的亮度下的分辨能力。能分辨出来的阶数越多，分辨能力也就越好，所能呈现出的画面效果也就越细腻。 text/html 2026-07-23T11:59:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%A9%BA%E9%97%B4%E9%A2%91%E7%8E%87%E5%93%8D%E5%BA%94_sfr&rev=1784807988&do=diff 空间频率响应（SFR） 一、空间频率响应的概念 空间频率响应（Spatial Frequency Response，SFR）指的是正弦输入的振幅（即对比度）随空间频率变化的衰减程度，可将人眼主观感知的“清晰度”转化为可测量的物理参量，用于评估​​成像系统（如相机、镜头等）对不同空间频率细节的再现能力​​。 text/html 2025-11-07T09:02:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:ieee_2020-2024_cpi%E6%B5%8B%E8%AF%95&rev=1762506128&do=diff IEEE 2020-2024 CPI测试 CPI的定义 对比度是区分物体与环境的重要基础条件。对比度表现指标（Contrast Performance Indicators，简称 CPI）是用于评估成像系统的对比度再现能力的测试指标，主要有两种：$(L_{in})$$(L_{in})=(L_{max}+L_{min})/2$$L_{in}$$L_{max}$$L_{min}$$L_{max} $$L_{min}$$C_{W}$$C_{M}$$C_{W}=\frac{L_{max}}{L_{min}}-1$$C_{W}$$L_{max} $$L_{min}$$C_{W}$$L_{min}$$C_{M}=\frac{L_{max}-L_{min}}{L_{max}+L_{min}}$$L_{max}$$L_{min}$$C_{M}$$C_{\text{PDF}}$$\frac{n(n-1)}{2}$${C_{mean}}$${\delta}$$C_{in}$$CTA_{C_{\text{in}}} = P\left[(C_{\text{in}} - \delta_- \times C_… text/html 2026-02-10T02:39:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_17850_%E7%95%B8%E5%8F%98%E6%B5%8B%E8%AF%95&rev=1770691164&do=diff ISO 17850：畸变测试 概述 本国际标准规定了数码相机几何畸变的测试方法。 标准： ISO 17850:2015 Photography — Digital cameras — Geometric distortion (GD) measurements 技术委员会: ISO/TC 42 Photography 术语与定义 1.geometric distortion（几何畸变）<数码静态相机（DSC）用>$h^{\prime}$$h_{0}^{\prime}$$D_{local}$$$D_{local}=\frac {(h^{\prime}-h_{0}^{\prime})}{h_{0}^{\prime}} \times100\% $$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$A_{i}$$B_{i}$$$D_{h_{i}}=2V(B_{i}−A_{i})\prime$$$$D_{h_{i}}=2V(A_{i}−B_{i})\prime$… text/html 2026-07-24T07:23:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E8%AE%BE%E5%A4%87%E7%9A%84%E9%80%89%E6%8B%A9%E4%B8%8E%E4%BD%BF%E7%94%A8&rev=1784877783&do=diff 图卡 * 如何选择合适图卡 * 图卡材质选择指南 * 图卡的使用_维护和储存指南 * 18_灰 光源 * 多光谱光源箱 * 矩阵交通灯 * 道路交通信号灯仿真测试平台 * 减光片 平行光管 * 平行光管的光瞳匹配 * 平行光管的焦距匹配 * 平行光管的物距计算 * 平行光管的结构 RIQA图像质量分析软件 * riqa的安装 * riqa-camera分辨率模块 * riqa-camera灰阶模块 * riqa-camera畸变模块 * riqa-camera色彩模块… text/html 2025-12-05T07:08:52+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:mtf_sfr%E6%B5%8B%E9%87%8F_%E8%A5%BF%E9%97%A8%E5%AD%90%E6%98%9F%E5%9B%BE%E6%B3%95&rev=1764918532&do=diff MTF/SFR测量——西门子星图法 原理： 基于放射状正弦楔形条纹的径向频率梯度特性，通过像素读取、正弦曲线拟合与调制度计算，直接获取不同空间频率下的调制度MTF值（无需傅里叶变换），绘制MTF曲线，体现成像系统不同频率的对比度传递能力。$I_{Max}$$S_{Min}$$Modulation = \frac{I_{\text{max}} - I_{\text{min}}}{I_{\text{max}} + I_{\text{min}}}$ text/html 2025-10-31T08:48:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:adas%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E5%AF%B9%E6%AF%94%E5%BA%A6%E8%A1%A8%E7%8E%B0%E6%8C%87%E6%A0%87_cpi&rev=1761900528&do=diff 对比度表现指标（CPI） 一、对比度表现指标（CPI）概念 对比度是区分物体与环境的重要基础条件。对比度表现指标（Contrast Performance Indicators，简称 CPI）用于评估成像系统的对比度再现能力，主要分为两种：对比度检测概率（CDP）和对比度信噪比（CSNR）。 text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F&rev=1784807987&do=diff 色彩还原 一、色彩还原的定义 色彩还原指的是彩色胶片通过拍摄和洗印加工，使彩色摄影画面的色彩大体上和原物体一致。而在数码相机上指的是通过数据加工和计算还原摄影画面色彩的能力。 text/html 2026-08-06T12:05:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%99%AF%E6%B7%B1&rev=1786017913&do=diff CMS景深 定义： CMS 景深指摄像头监控系统（电子后视镜） 后方目标可清晰成像的物距范围。 光学成像中，焦平面外的物点会在像面上形成模糊光斑，即弥散圆；当弥散圆尺寸超出容许阈值时，成像模糊度超出清晰辨识临界，无法识别目标。$$MTF10_{(1:1)} \geq 0,9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$MTF10_{\text{MIN}(1:1)}$$$MTF10_{\text{MIN}(1:1)/\text{hor}} = \left( \frac{W_{\text{monitor}/\text{hor}}}{W_{\text{monitor}/\text{hor}/\text{min}}} \right) \cdot M_{\text{mirror}/\text{avg}} \cdot \alpha_{\text{mirr… text/html 2026-02-24T02:19:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E5%B8%A7%E7%8E%87&rev=1771899550&do=diff 一、定义 CMS 帧率指车载摄像头监视器系统CMS在单位时间内，从图像采集、处理、传输到监视器完整显示的有效图像总数，单位为 fps（帧/秒）。 视频数据流的连续图像帧 该图为视频数据流中的连续图像帧（I₁、I₂、I₃…），其单位时间内的显示频率，即为 text/html 2025-12-05T08:10:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:mtf_sfr%E6%B5%8B%E9%87%8F_%E6%9E%AF%E5%8F%B6%E5%9B%BE%E6%B3%95&rev=1764922200&do=diff MTF/SFR测量—枯叶图法（Dead Leaves） 原理： 基于贴近自然场景的随机圆形纹理图案，提取纹理功率谱密度（PSD）并扣除噪声，计算各频率调制幅值与目标调制的比值，得到 MTF/SFR 值，是用于特定情况的分辨率测试，即纹理损失（如低对比度时高频率的情况，例如头发）。 text/html 2026-02-26T08:24:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E7%9C%A9%E5%85%89&rev=1772094255&do=diff CMS眩光 CMS 眩光是指车载摄像头监控系统（CMS）在行车场景中受强光直射或反射时，光在镜头透镜表面及镜筒内部发生多次非预期反射与散射，进而导致成像整体对比度下降、出现大面积亮斑的光学干扰现象；法规标准对此制定明确要求，可保障车载 text/html 2026-07-10T08:03:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:material_selection_guide&rev=1783670587&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Test Chart Material Selection Guide Test charts are core tools in fields such as optical testing and imaging system evaluation. Their materials directly affect testing accuracy, service life, and applicable scenarios. Selecting the appropriate test chart material requires a comprehensive analysis of the pros and cons of various materials, taking into… text/html 2026-07-10T08:03:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:usage_maintenance_storage_guide&rev=1783670588&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Guidelines for the Use, Maintenance, and Storage of Test Charts Test charts are indispensable reference tools in image quality evaluation, and their integrity directly determines the accuracy of test results. Improper use and storage environments can cause charts to fade, scratch, or deform, thereby rendering them useless for calibration. text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E9%98%B2%E6%8A%96&rev=1784807987&do=diff 防抖 一、什么是抖动 在公园用手机抓拍奔跑的孩子，照片因模糊错失灵动瞬间；操控无人机航拍山河，画面的剧烈抖动让壮阔风光失了韵味；安防监控的关键时刻，影像模糊更是让重要信息无从捕捉…… 这些影响体验的问题，都指向同一个核心症结 —— text/html 2026-07-24T05:55:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F:camera_module:%E8%87%AA%E5%8A%A8%E6%9B%9D%E5%85%89_ae&rev=1784872546&do=diff 自动曝光（AE） 正确的曝光能够让图片看起来更真实与舒适，而曝光也是影响后续图像处理的第一步也是至关重要的一步。常见控制曝光的的三项参数为曝光时间，感光度（ISO），光圈。而光圈作为控制曝光量的三种常见手段之一，因为在手机上体积受限鲜有人提及，但近些年随着人们认知的提升与技术进步，同时也因为光圈同时影响着景深，有越来越多的旗舰机型做到了主摄可变光圈。这三种手段同时出现在了手机影像系统当中，用于控制曝光与景深。… text/html 2026-04-07T07:23:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%A8%AA%E5%90%91%E5%9D%87%E5%8C%80%E6%80%A7&rev=1775546585&do=diff CMS横向均匀性 一、定义 CMS（Camera Monitor System，摄像头监控系统）行业称为电子后视镜，是用摄像头+监视器的组合来取代传统的光学后视镜，显示模式为外部摄像头采集图像，处理后显示在舱内显示屏内，同时可以集成类似盲区预警、障碍物提示等功能。$$\frac{\max\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\} - \min\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\}}{\max\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\}} < 35\%\tag{1}$$… text/html 2026-04-07T07:22:39+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%96%B9%E5%90%91%E5%9D%87%E5%8C%80%E6%80%A7&rev=1775546559&do=diff CMS方向均匀性 一、定义 CMS （Camera Monitor System，摄像头监控系统）行业称为电子后视镜，是用摄像头+监视器的组合来取代传统的光学后视镜，显示模式为外部摄像头采集图像，处理后显示在舱内显示屏内，同时可以集成类似盲区预警、障碍物提示等功能。$$\frac{\max\left\{ \left| L_i - L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right) \right| \right\}}{L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right)} < 35\%$$$$\frac{\max\left\{ \left| L_{i'} - L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right) \right| \right\}}{L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{mon… text/html 2026-07-24T07:13:06+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=start&rev=1784877186&do=diff ​​欢迎来到 研鼎知识库! 本知识库由研鼎独家创作，全程免费开放，聚焦成像基础知识与成像质量评估两大核心领域，旨在为不同需求的使用者提供体系化知识支持。 无论您是深耕实践的影像、光学工程师，专注前沿探索的科研工作者，或是对“图像如何形成”“图像优劣如何评判”抱有好奇的入门学习者，都能在此找到适配内容： text/html 2026-07-23T12:54:36+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F:%E6%BF%80%E5%85%89%E9%9B%B7%E8%BE%BE:%E6%B5%8B%E8%B7%9D%E8%83%BD%E5%8A%9B&rev=1784811276&do=diff 测距能力 一、前言 测距能力是评价激光雷达探测性能的关键基础指标，直接定义了系统数字化物理世界的有效量程。 在自动驾驶、工业机器人及高精度测绘等领域，测距能力不仅决定了系统的安全边界与作业效能，更体现了其在复杂环境下提取微弱信号的探测增益与鲁棒性。对其进行标准化测试，既是验证光电链路性能的物理极值，也是保障产品在实际场景中稳定落地的技术前提。$P_t$$A_r$$\alpha$$R$$\sqrt{\rho}$$R \propto \sqrt{\rho}$$$P_r = P_t \cdot \frac{A_r}{R^2} \cdot \rho \cdot \eta_{sys} \cdot \exp(-2\alpha R)$$$P_r$$P_t$$A_r$$R$$\rho$$\eta_{sys}$$\alpha$… text/html 2025-10-31T07:17:55+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%85%89%E6%BA%90:%E5%A4%9A%E5%85%89%E8%B0%B1%E5%85%89%E6%BA%90%E7%AE%B1&rev=1761895075&do=diff 多光谱光源箱——为光学测试精度立新标，给每一道光精准“标定”答案 一、色温相同，颜色为何不同？ 色温，是对光色调的一种度量。一般来说，暖黄色光的色温较低，冷白色光的色温较高。看似同色温的光，实则蕴含着不同的 “光谱奥秘”。光谱，如同光的 “成分配方表” ，即使色温一致，不同光谱的光源，其成分也存在差异。 text/html 2026-07-10T08:03:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_15739_noise&rev=1783670614&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) ISO 15739: Noise Measurements Overview The ISO 15739 standard specifies the test methods for noise and dynamic range of digital cameras.${L_{j}}$$g(L_{j})$$$ g(L_{j}) = \frac{1}{2} [ \frac{ I(L_{j})-I(L_{i}) } {L_{j}-L_{i} } + \frac { I(L_{k}) - I(L_{j}) } {L_{k}-L_{j}} ] $$$I(L_{j})$$L_… text/html 2026-07-10T08:03:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:qc_t_1128_2019&rev=1783670617&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Image Solutions for "QC/T 1128-2019: Automotive Cameras" Overview “QC/T 1128-2019: Automotive Cameras$\text{SNR (dB)} = 20\log_{10}\left(\frac{\text{Si}}{\text{Ni}}\right)$${Si}$\( i \)${Ni}$\( i \)$$\text{DR} = 20 \left( D_{\text{SNR}=1} - D_{\text{SNR}=\text{MAX}} \right)$$$D_{\text{SNR}=1}$$D_{\text{SNR}=\text{MAX}}$$t_{on}$$t_{SL}$$$\theta_{\tex… text/html 2026-06-23T02:31:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E5%8F%8C%E7%82%B9%E5%85%89%E6%BA%90&rev=1782181890&do=diff CMS双点光源 CMS是什么？ 随着汽车电子化发展，电子后视镜（Camera Monitor System，CMS）正逐步替代传统光学后视镜，成为现代汽车的核心配置之一。它通过车外摄像头采集图像并在车内监视器实时显示，破解了传统后视镜视角受限、恶劣天气视野模糊等痛点。 $$\text{PLSDF} = \frac{S_{\text{H}} \times L_{\text{H},\text{max}}}{S_{\text{V}} \times L_{\text{V},\text{max}}}$$$$\text{PLSCF} = \left(1 - \frac{L_{\text{H},\text{min}}}{L_{\text{H},\text{max}}}\right)$$$\alpha_{PLS}$… text/html 2026-07-10T08:03:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_gray_level_reproduction&rev=1783670607&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) CMS Gray Scale Reproduction Test Method: Display the gray scale test chart on the monitor, measure the luminance of each gray patch displayed on the monitor, calculate the lightness of each gray patch according to Formula (1), and then calculate the lightness difference between adjacent gray patches according to Formula (2). The requirement is that … text/html 2025-10-31T07:23:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_12233_sfr%E6%B5%8B%E8%AF%95&rev=1761895385&do=diff ISO 12233：SFR测试 概述 ISO 12233标准规定了测量数字相机的分辨率和空间频率响应 （SFR） 的方法。该标准首次发布于 2000 年，目前最新的是 2024 年发布的第 5 版。 使用标准： ISO 12233 Photography— Electronic still picture imaging — Resolution and spatial frequency responses 技术委员会： text/html 2026-06-22T12:57:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms&rev=1782133025&do=diff CMS 概念 摄像头监视系统CMS（Camera Monitor System），行业称为电子后视镜，是采用摄像头+监视器的组合来取代传统的光学后视镜，显示模式为外部摄像头采集图像，处理后显示在舱内显示屏内，同时可以集成类似盲区预警、障碍物提示等功能，为驾驶员提供全方位的环境视野，有效弥补传统后视镜存在的视野局限与盲区问题，提升行车安全性与操作便利性。 text/html 2026-07-10T08:03:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_16505_cms_color_reproduction&rev=1783670615&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) ISO 16505: CMS Color Reproduction Test Color reproduction (Colour rendering) refers to the ability of a Camera Monitor System ($(u'_r, v'_r)$$(u'_{it}, v'_{it})$$(\Delta u' = u'_{it} - u'_r, \Delta v' = v'_{it} - v'_r)$$\theta_{icolor}$$\left( (u'_{it} - u'_r) \geq 0 \text{ and } (v'_{it} - v'_r) \geq 0 \right): \theta_{icolor} = \arctan\left( \frac{… text/html 2026-07-24T02:37:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:lidar:angular_resolution&rev=1784860639&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Angular Resolution 1. What is Angular Resolution? Angular resolution refers to the angle formed by the central axes of two adjacent laser detection points at the ranging center during the scanning and detection process of a LiDAR. Depending on the scanning direction, it can be divided into $\Delta L$$\theta$$$\Delta L = d \cdot \tan(\theta) \approx … text/html 2026-07-10T08:03:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_18844_flare&rev=1783670617&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) ISO 18844: Flare Measurement Overview The ISO 18844:2017 standard specifies the measurement method for flare in digital cameras.$$F=\frac{S_{Black}}{S_{White}}\times 100\%$$$S_{Black}$$S_{White}$$\frac{|E_\mathrm{max}-E_\mathrm{avg}|}{E_\mathrm{avg}}<0.05,\quad \frac{|E_\mathrm{min}-E_\mathrm{avg}|}{E_\mathrm{avg}}<0.05$$\mathrm{CCT}=5700\ \mathrm{K… text/html 2025-10-29T08:32:41+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=keywords&rev=1761726761&do=diff 动态范围/色彩还原/空间频率响应/均匀性/畸变/杂光/闪烁/CMS/图卡 text/html 2026-07-24T02:37:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:lidar:ranging_capability&rev=1784860639&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Ranging Capability I. Introduction Ranging capability is a key fundamental metric for evaluating the detection performance of $P_t$$A_r$$\alpha$$R$$\sqrt{\rho}$$R \propto \sqrt{\rho}$$$P_r = P_t \cdot \frac{A_r}{R^2} \cdot \rho \cdot \eta_{sys} \cdot \exp(-2\alpha R)$$$P_r$$P_t$$A_r$$R$$\rho$$\eta_{sys}$$\alpha$