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        <title>en:yanding:成像质量评价:标准化测试:emva_1288_图像传感器与相机性能表征标准</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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:emva_1288_%E5%9B%BE%E5%83%8F%E4%BC%A0%E6%84%9F%E5%99%A8%E4%B8%8E%E7%9B%B8%E6%9C%BA%E6%80%A7%E8%83%BD%E8%A1%A8%E5%BE%81%E6%A0%87%E5%87%86&amp;rev=1783595667&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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EMVA 1288：图像传感器与相机性能表征标准

一、背景

EMVA 1288 标准由欧洲机器视觉协会（EMVA）$\eta$$K$$K = \frac{\text{DN}}{\text{e}^-}$$\mathrm{SNR_{p,max}}$$T_d$$$ \eta = \frac{\mu_e}{\mu_p} \tag{1}$$$\mu_p$$\mu_e$$$\mu_y = \mu_{y,\text{dark}} + K \eta \mu_p \tag{2}$$$\mu_y $$ \mu_{y,\text{dark}}$$K$$\text{DN}/e^-$$$\eta = \frac{\mu_y - \mu_{y,\text{dark}}}{K \mu_p} \tag{3}$$$\mu_p$…</description>
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:gb_15084-2022cms视镜类型及视野要求解读</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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_15084-2022cms%E8%A7%86%E9%95%9C%E7%B1%BB%E5%9E%8B%E5%8F%8A%E8%A7%86%E9%87%8E%E8%A6%81%E6%B1%82%E8%A7%A3%E8%AF%BB&amp;rev=1783595667&amp;do=diff</link>
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GB 15084-2022：CMS视镜类型及视野要求解读

CMS摄像头监控系统（Camera Monitor System）</description>
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:gb_t_43249-2023_汽车用被动红外探测系统</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595667&amp;do=diff</link>
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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$$$MRTD = \frac{|\Delta T_1| + |\Delta T_2|}{2}$$…</description>
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        <title>en:yanding:成像质量评价:标准化测试:gb_t_45500-2025_车载激光雷达性能要求及试验方法</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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_45500-2025_%E8%BD%A6%E8%BD%BD%E6%BF%80%E5%85%89%E9%9B%B7%E8%BE%BE%E6%80%A7%E8%83%BD%E8%A6%81%E6%B1%82%E5%8F%8A%E8%AF%95%E9%AA%8C%E6%96%B9%E6%B3%95&amp;rev=1783595667&amp;do=diff</link>
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GB/T 45500-2025《车载激光雷达性能要求及试验方法》

GB/T 45500-2025《车载激光雷达性能要求及试验方法》$\sigma_d \leq \max(0.1\ \text{m}, 0.25\% \cdot S)$$|\delta_d| \leq \max(0.2\ \text{m}, 0.5\% \cdot S)$$(P)$$P \leqslant 1.5 \times \max(\sigma_{\text{d}}, \left| \delta_{\text{d}} \right|)$$$P = \sqrt{\frac{\sum_{1}^{n} b_i^2}{n}} \tag{1}$$\( P \)\( b_i \)\( i \)\( n \)…</description>
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        <dc:date>2026-07-09T11:14:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:ieee_2020-2024_cpi测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595667&amp;do=diff</link>
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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）$(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{P…</description>
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:ieee_2020-2024_flare测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595667&amp;do=diff</link>
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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}$…</description>
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:ieee_2020-2024_flicker测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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_flicker%E6%B5%8B%E8%AF%95&amp;rev=1783595667&amp;do=diff</link>
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IEEE 2020-2024 Flicker测试

一、闪烁（Flicker)的定义

闪烁（Flicker）指相机拍摄的图像中出现周期性明暗波动、条纹或局部亮度不稳定的现象。该现象本质上是时间采样不匹配导致的问题，LED 灯通常以每秒数百次的频率脉冲发光，其表观亮度通过调整脉冲的占空比（即亮灯时间在一个周期内的占比）来控制，而由于人眼相当于一个天然的时间低通滤波器，这种高频脉冲在视觉上会被 “平滑” 为持续稳定的光效，因此人眼看到的 LED 灯处于恒定亮灯状态。但拍摄光源的相机可能会与这些波动以相同的时间尺度进行曝光，使得相机更容易捕捉到光源本身的动态变化。$$ FMI = 100 \times \frac{x_{\max} - x_{\min}}{x_{\max} + x_{\min}} $$…</description>
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        <dc:date>2026-07-09T12:45:50+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:iso_12233_sfr测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783601150&amp;do=diff</link>
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ISO 12233: SFR Testing

Overview


The ISO 12233 standard specifies methods for measuring the resolution and spatial frequency response (SFR)</description>
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        <dc:date>2026-07-09T11:14:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:iso_15739_噪声测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595667&amp;do=diff</link>
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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。${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})* …</description>
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        <dc:date>2026-07-09T12:45:50+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:iso_16505_cms景深测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783601150&amp;do=diff</link>
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ISO 16505: CMS Depth of Field Test

Definition:

Depth of field is the distance range over which the imaging resolution of the $$MTF10_{(1:1)} \geq 0,9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$$MTF10_{\text{MIN}(1:1)/\text{hor}} = \left( \frac{W_{\text…</description>
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        <dc:date>2026-07-09T11:14:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:iso_16505_cms色彩还原测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595667&amp;do=diff</link>
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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。$(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) &lt; 0 \text{且} (v'_{it} …</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-09T11:14:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:iso_17850_畸变测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595667&amp;do=diff</link>
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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：$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$$$$D_{h_{i}}=2V(A_{i}−B_{i})\prime$$$A_{i}$$B_{i}$$\alpha…</description>
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        <dc:date>2026-07-09T11:14:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:iso_17957_shading测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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_17957_shading%E6%B5%8B%E8%AF%95&amp;rev=1783595667&amp;do=diff</link>
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ISO 17957：Shading测试

ISO 17957标准规定了数字相机（包括拍照手机）的Shading测量方法，该方法包含测量颜色信号分量和亮度信号分量的测试方法。$$D_L = \max\left[L^*(i)\right] - \ min\left[L^*(i)\right] $$$$D_Y = \frac{\max[Y(i)] - \min[Y(i)]}{\max[Y(i)]} \times 100$$$ a^*(i) $$b^*(i) $$( \overline{a^*})$$( \overline{b^*} )$$$\overline{a^*} = \frac{1}{m} \sum_{i=1}^{m} a^*(i) \quad $$$$\overline{b^*} = \frac…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-09T11:14:28+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:iso_18844_杂光测试</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595668&amp;do=diff</link>
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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。$$F=\frac{S_{Black}}{S_{White}}\times 100\%$$$S_{Black}$$S_{White}$$\frac{|E_\mathrm{max}-E_\mathrm{avg}|}{E_\mathrm{avg}}&lt;0.05,\quad \frac{|E_\mathrm{min}-E_\mathrm{avg}|}{E_\mathrm{avg}}&lt;0.05$$\mathrm{CCT}=5700\ \mathrm{K}\pm1000\ \mathrm{K}$$H×V$$H/10×V/10$$H×V$$H/10×V/10$…</description>
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        <dc:date>2026-07-09T11:14:28+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:成像质量评价:标准化测试:qc_t_1128-2019_汽车用摄像头_图像解决方案</title>
        <link>https://wiki.yanding.com/doku.php?id=en: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&amp;rev=1783595668&amp;do=diff</link>
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《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》$\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( \d…</description>
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</rdf:RDF>
