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        <title>yanding:成像基础知识:光学:色度学:色域</title>
        <link>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:%E8%89%B2%E5%BA%A6%E5%AD%A6:%E8%89%B2%E5%9F%9F&amp;rev=1761893745&amp;do=diff</link>
        <description>数字相机有色域吗？

随着数字图像的应用日趋广泛，色域（colour gamut）这个色学术语渐渐走入大众的视野。在（手机、平板等）移动计算设备、（台式、头戴式）计算机显示设备、电视机、投影机等产品的介绍中，时常可以看到色域这一术语及相应的规格（如 95% sRGB）。诚然，色域愈大，显示设备能够还原的颜色范围愈大，高纯度颜色的还原愈好，因此，扩展色域、广色域的概念也应运而生。在计算机术语中，显示设备、打印机等皆属于输出设备，色域可以部分体现输出设备（及媒介）的颜色还原能力。那么，我们不禁要问，作为数字图像的主要源头，以数字相机、扫描仪为代表的输入设备是否也有色域呢？今天我们就与大家一起来讨论这个有趣的问题。…</description>
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        <dc:date>2026-07-23T11:59:47+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:camera测试用例:色彩还原</title>
        <link>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&amp;rev=1784807987&amp;do=diff</link>
        <description>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。</description>
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        <dc:date>2026-02-13T02:08:39+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_色彩还原</title>
        <link>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&amp;rev=1770948519&amp;do=diff</link>
        <description>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。</description>
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        <dc:date>2025-11-11T06:46:48+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像基础知识:光学:色度学:显色指数ra与ri的区别</title>
        <link>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:%E8%89%B2%E5%BA%A6%E5%AD%A6:%E6%98%BE%E8%89%B2%E6%8C%87%E6%95%B0ra%E4%B8%8Eri%E7%9A%84%E5%8C%BA%E5%88%AB&amp;rev=1762843608&amp;do=diff</link>
        <description>显色指数Ra与Ri的区别

在照明设计、色彩管理、影像创作等领域，显色指数是评判光源还原物体颜色能力的核心指标，而Ra（一般显色指数）与Ri（特殊显色指数）作为显色指数体系的两大核心参数，既相互关联又各有侧重。前者(Ra)是行业通用的“基础评分”，后者(Ri)则是针对特定色彩的“精准体检”。本文将系统拆解Ra与Ri的本质内涵、关联差异及应用逻辑，助力精准把控光源显色性能。$$R_i = 100 - 4.6 \Delta E$$$ \Delta E_i$$ \Delta E_i$$R_{i}$$$Ra =\frac{(R₁+R₂+R₃+R₄+R₅+R₆+R₇+R₈)}{8}$$…</description>
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        <dc:date>2026-04-16T08:49:20+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>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=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=1776329360&amp;do=diff</link>
        <description>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) &lt; 0 \text{且} (v'_{it} - v'_r) \geq 0 \right)： \theta_{icolor} = 180^\circ + \arctan\left(…</description>
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        <dc:date>2025-11-18T07:38:16+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>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=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=1763451496&amp;do=diff</link>
        <description>《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) …</description>
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        <dc:date>2025-10-31T07:17:55+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:工具:光源:多光谱光源箱</title>
        <link>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&amp;rev=1761895075&amp;do=diff</link>
        <description>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。</description>
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        <dc:date>2026-07-23T12:51:18+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:工具:图卡:如何选择合适图卡</title>
        <link>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&amp;rev=1784811078&amp;do=diff</link>
        <description>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}$…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T11:59:47+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:camera测试用例:成像质量评价</title>
        <link>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&amp;rev=1784807987&amp;do=diff</link>
        <description>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</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-27T03:27:08+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>wiki:langswitch_map</title>
        <link>https://wiki.yanding.com/doku.php?id=wiki:langswitch_map&amp;rev=1785122828&amp;do=diff</link>
        <description>﻿

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</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T07:20:23+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:工具:图卡:图卡材质选择指南</title>
        <link>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&amp;rev=1761895223&amp;do=diff</link>
        <description>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。</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B2&amp;rev=1779084664&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-05-18T06:11:04+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>测试用例2</title>
        <link>https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B2&amp;rev=1779084664&amp;do=diff</link>
        <description>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…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_color_reproduction&amp;rev=1783670608&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:28+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_color_reproduction</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_color_reproduction&amp;rev=1783670608&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

 (remove this paragraph once the translation is finished) 

CMS Color Reproduction

Concept

CMS Color Reproduction refers to the ability of the Camera Monitor System (CMS) to accurately reproduce the colors of the original scene on the in-vehicle monitor after capturing the scene information around the vehicle via external cameras, followed by image processing and transmission. It encompasses the precise repr…</description>
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    <item rdf:about="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&amp;rev=1786017913&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-08-06T12:05:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_景深</title>
        <link>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&amp;rev=1786017913&amp;do=diff</link>
        <description>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…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B&amp;rev=1768528821&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-01-16T02:00:21+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>camera测试用例</title>
        <link>https://wiki.yanding.com/doku.php?id=camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B&amp;rev=1768528821&amp;do=diff</link>
        <description>*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</description>
    </item>
    <item rdf:about="https://wiki.yanding.com/doku.php?id=keywords&amp;rev=1761726761&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-29T08:32:41+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>keywords</title>
        <link>https://wiki.yanding.com/doku.php?id=keywords&amp;rev=1761726761&amp;do=diff</link>
        <description>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</description>
    </item>
    <item rdf:about="https://wiki.yanding.com/doku.php?id=%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95&amp;rev=1778324560&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-05-09T11:02:40+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>标准化测试</title>
        <link>https://wiki.yanding.com/doku.php?id=%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95&amp;rev=1778324560&amp;do=diff</link>
        <description>标准化测试

	* emva_1288_图像传感器与相机性能表征标准

	* qc_t_1128-2019_汽车用摄像头_图像解决方案

	* ieee_2020-2024_flare测试

	*  ieee_2020-2024_flicker测试

	*   ieee_2020-2024_cpi测试

	* iso_12233_sfr测试

	* iso_15739_噪声测试

	* iso_17850_畸变测试

	* iso_18844_杂光测试

	* iso_17957_shading测试

	* gb_15084-2022cms视镜类型及视野要求解读

	* iso_16505_cms色彩还原测试

	* iso_16505_cms景深测试

	* gb_t_45500-2025_车载激光雷达性能要求及试验方法

	* gb_t_43249-2023_汽车用被动红外探测系统…</description>
    </item>
    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:image_quality_evaluation&amp;rev=1784807986&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T11:59:46+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:camera_test_cases:image_quality_evaluation</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:image_quality_evaluation&amp;rev=1784807986&amp;do=diff</link>
        <description>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…</description>
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