https://wiki.yanding.com/ 2026-08-07T06:02:47+00:00 https://wiki.yanding.com/ https://wiki.yanding.com/lib/tpl/myconfluence/images/favicon.ico 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 2025-12-18T11:03:45+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:gb_t_43249-2023_%E6%B1%BD%E8%BD%A6%E7%94%A8%E8%A2%AB%E5%8A%A8%E7%BA%A2%E5%A4%96%E6%8E%A2%E6%B5%8B%E7%B3%BB%E7%BB%9F&rev=1766055825&do=diff GB/T 43249-2023《汽车用被动红外探测系统》 GB/T 43249-2023《汽车用被动红外探测系统》是中国首个针对车载被动红外探测技术的国家级技术标准，该标准全面规范了系统的技术要求、试验方法及检验规则，旨在提升车载红外探测设备在环境感知、夜视辅助、安全预警等场景下的可靠性与精准度。$\Delta T=2\text{K}$$n$$N$$n$$S$$$\text{NETD} = \frac{\Delta T}{S/N} $$$\Delta T$$S$$N$$$MRTD = \frac{|\Delta T_1| + |\Delta T_2|}{2}$$… 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:%E9%94%90%E5%BA%A6&rev=1784811077&do=diff 锐度 一、锐度的本质 锐度是衡量图像细节表现力与边缘清晰度的核心指标。其本质在于不同色调或颜色区域交界处的对比度梯度——梯度越陡峭，边缘越鲜明，细节分离度就越强。它不仅决定了视觉上的“清晰感”，更是图像信息传递效率的体现。在评价体系中，它通常通过 Acutance与 MTF（调制传递函数）等指标进行量化分析。 $$Q = \frac{\sum_{i=1}^{N} SFR_i \, CSF_i}{\sum_{i=1}^{N} CSF_i}, \quad i = 1, 2, \dots, N \tag{L.2}$$\(SFR_i\)\(i\)\(CSF_i\)\(i\)\(N\)$$csf_{\text{lum}}(f) = \frac{(a \cdot f^c) e^{-bf}}{K} \tag{L.1}$$$a = 75$$b = 0.2$$c = 0.8$$K = 102.16$$f$$f_{cut}​ $$$f_{\text{cycles/degree}} = \frac{\pi D}{180 p} f_{\text{cycles/pixel}} = \frac{\pi D N… 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 2026-07-27T05:48:42+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:%E5%85%89%E5%AD%A6:%E5%87%A0%E4%BD%95%E5%85%89%E5%AD%A6:%E5%85%A5%E7%9E%B3&rev=1785131322&do=diff 入瞳及其在相机成像测试中的应用 当我们观察人眼时，可见一黑色小孔（即瞳孔），所有入射光均通过瞳孔进入人眼。从生理上说，瞳孔是虹膜中央的孔，但我们观察到的并不是瞳孔本身，而是瞳孔通过其前面的屈光结构（如角膜、前房等）所成的像。相似地，如果我们在一个明亮的环境，从正面观察一个照相机镜头，会看到一个明亮的斑，这个斑便是镜头的光圈（通常置于镜片之间）经过其前面的镜片所成的像，称为入射光瞳（以下简称入瞳）。在相机的成像测试中，入瞳是一个十分重要的概念，有着广泛的应用。在本文中，我们就与大家一同来认识入瞳。… 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 2026-07-23T11:59:47+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 2026-07-27T03:27:08+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 2026-01-20T06:38:53+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%B9%B3%E8%A1%8C%E5%85%89%E7%AE%A1:%E5%B9%B3%E8%A1%8C%E5%85%89%E7%AE%A1%E7%9A%84%E5%85%89%E7%9E%B3%E5%8C%B9%E9%85%8D&rev=1768891133&do=diff 平行光管与 DUT 的光瞳匹配 孔径光阑通过其与像之间的光学系统所成的像，称作出射光瞳，简称出瞳。出瞳是光学系统出射光线的公共出口，出瞳中心是像方主光线（或其延长线）的交点。 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 2026-05-18T06:11:04+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B2&rev=1779084664&do=diff 测试课堂 ADAS测试用例 * 对比度表现指标_cpi * 闪烁 flicker Camera测试用例 * 动态范围 * 噪声 * 均匀性 * 帧率 * 曝光时间 * 灰阶响应 * 畸变 * 白平衡 * 眩光 * 空间频率响应_sfr * 纹理丢失 * 色差 * 色彩还原 * 视场角 * 防抖 CMS测试用例 * CMS的介绍 * CMS视镜类型及视野要求 * CMS测试前所需参数 * 亮度对比度复现 * 灰度等级复现 * 方向均匀性 * 横向均匀性 * 双点光源 * 眩光 * 景深 * 色彩还原 * 帧率 * 锐度… text/html 2026-07-23T11:59:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:image_quality_evaluation&rev=1784807986&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Image Quality Assessment Overview Image Quality Assessment (IQA) refers to the subjective and objective analysis and evaluation of the imaging performance (such as resolution, noise, distortion, color, dynamic range, etc.) of an imaging system under given conditions (such as the captured scene, lighting environment, and display device input of a cam… text/html 2026-07-24T03:00:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:image_quality_factors:mtf_sfr_analysis_and_testing&rev=1784862019&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) The "Eye Chart" of Imaging Systems: In-depth Analysis and Testing Practices of MTF/SFR When discussing the resolution (objective physical limit) of an imaging system, as well as sharpness and clarity (subjective visual perception), MTF/SFR are the core metrics for quantifying these objective and subjective dimensions. Through the MTF curve, they intu… text/html 2026-01-16T02:00:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B&rev=1768528821&do=diff *空间频率响应_sfr *纹理丢失 *灰阶响应 *动态范围 *噪声 *视场角 *畸变 *色差 *均匀性 *眩光 *色彩还原 *白平衡 *帧率 *曝光时间 *防抖 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 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E9%97%AE%E9%A2%98&rev=1784811078&do=diff 图像质量指标 * 空间频率响应 * 动态范围 * 噪声 * 均匀性 * 杂光 * 畸变 * 视场角 * 色差 * 锐度 * 白平衡