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        <title>en:yanding:image_quality_evaluation:standardized_testing:ieee_2020_2024_flare</title>
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        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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IEEE 2020-2024 Standard Flare Test

 I. Definition of Flare 

Flare refers to non-imaging light that propagates to the image plane along unintended optical paths, resulting in reduced image contrast and undesirable imaging artifacts. In this standard, $$F=\frac{S_{Black}}{S_{White}}\times 100\%$$$S_{Black}$$S_{White}$$L_{ref}$$R_{ref}$$R_{flare}$$E_{f…</description>
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        <dc:date>2025-11-04T08:12:43+00:00</dc:date>
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        <title>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=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=1762243963&amp;do=diff</link>
        <description>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:date>2026-07-27T07:57:47+00:00</dc:date>
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        <title>en:yanding:image_quality_evaluation:image_quality_factors:flare</title>
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        <description>Stray light

Stray light is an imaging artifact in which non-imaging rays reaches the image sensor plane through optical paths other than the intended imaging path. It is commonly observed in optical imaging systems under high-irradiance conditions, including backlighting and direct solar illumination. Stray light may lead to reduced image contrast, veiling glare, and various flare-related artifacts.
$F$$F$$$F = \frac{S_{black}}{S_{white}} \times 100\%$$$2\text{cd/m}^2$$(5～10)$$\text{Mcd/m}^2$$(…</description>
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        <dc:date>2026-07-10T08:03:37+00:00</dc:date>
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        <title>en:yanding:image_quality_evaluation:standardized_testing:iso_18844_flare</title>
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        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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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}}&lt;0.05,\quad \frac{|E_\mathrm{min}-E_\mathrm{avg}|}{E_\mathrm{avg}}&lt;0.05$$\mathrm{CCT}=5700\ \mathrm{K…</description>
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        <dc:date>2026-07-23T12:51:17+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:图像质量指标:杂光_flare</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%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E6%8C%87%E6%A0%87:%E6%9D%82%E5%85%89_flare&amp;rev=1784811077&amp;do=diff</link>
        <description>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…</description>
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        <dc:date>2026-08-21T14:40:26+00:00</dc:date>
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        <description>﻿

Language Switch Map

维护说明：

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	*  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:date>2026-07-24T07:49:20+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:standardized_testing</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing&amp;rev=1784879360&amp;do=diff</link>
        <description>Standardized Testing

This section covers standardized testing methods for image quality evaluation, including:

	*  ISO 12233 SFR Testing
	*  ISO 15739 Noise Testing
	*  ISO 16505 CMS Depth of Field Testing
	*  ISO 16505 CMS Color Reproduction Testing
	*  ISO 17850 Distortion Testing
	*  ISO 17957 Shading Testing
	*  ISO 18844 Flare Testing
	*  EMVA 1288
	*  IEEE 2020-2024 CPI Testing
	*  IEEE 2020-2024 Flare Testing
	*  IEEE 2020-2024 Flicker Testing
	*  GB 15084-2022 CMS
	*  GB/T 43249-2023 P…</description>
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        <dc:date>2026-06-05T06:39:44+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_18844_杂光测试</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_18844_%E6%9D%82%E5%85%89%E6%B5%8B%E8%AF%95&amp;rev=1780641584&amp;do=diff</link>
        <description>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}}&lt;0.05,\quad \frac{|E_\mathrm{min}-E_\mathrm{av…</description>
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        <dc:date>2026-08-21T14:40:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:image_quality_factors</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:image_quality_factors&amp;rev=1787323226&amp;do=diff</link>
        <description>Image Quality Factors

This section covers common image quality issues in imaging systems, including:

	*  MTF (Modulation Transfer Function)
	*  Acutance
	*  Distortion
	*  Flare
	*  White Balance
	*  Noise
	*  Dynamic Range
	*  Chromatic Aberration
	*  Field of View
	*  Uniformity (Shading)
	*  Spatial Frequency Units</description>
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        <dc:date>2026-02-26T08:24:15+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_眩光</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_%E7%9C%A9%E5%85%89&amp;rev=1772094255&amp;do=diff</link>
        <description>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</description>
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        <dc:date>2026-07-23T11:59:46+00:00</dc:date>
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        <title>en:yanding:image_quality_evaluation:test_cases:camera_test_cases:glare</title>
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        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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Glare

When light from a strong light source (such as the sun or artificial light) reaches the lens directly, it reflects and bounces off various lens elements and even the sensor, thereby degrading image quality and creating unwanted artifacts in the image. This phenomenon is known as</description>
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        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_glare</title>
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        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Glare

CMS glare refers to the optical interference phenomenon in a Camera Monitor System (CMS) during driving scenarios, where strong direct or reflected light causes multiple unintended reflections and scattering on the lens surfaces and inside the lens barrel, resulting in an overall decrease in image contrast and the appearance of large bright…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide&amp;rev=1787110477&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-08-19T03:34:37+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide&amp;rev=1787110477&amp;do=diff</link>
        <description>How to Choose the Right Test Chart?

In image quality evaluation (e.g., for cameras, LiDAR, etc.), test charts are standardized and reproducible core tools—they translate “subjective visual perception” into “objective data metrics.” This article starts from basic concepts, breaking down the purposes, parameters, and selection logic of test charts, as well as chart materials, mounting, usage, and storage, to help you precisely match testing requirements and use test charts correctly.$tan\frac{DFO…</description>
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    <item rdf:about="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&amp;rev=1787194254&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-08-20T02:50:54+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>成像质量问题</title>
        <link>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&amp;rev=1787194254&amp;do=diff</link>
        <description>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</description>
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        <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>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:keywords&amp;rev=1784117593&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-15T12:13:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:keywords</title>
        <link>https://wiki.yanding.com/doku.php?id=en:keywords&amp;rev=1784117593&amp;do=diff</link>
        <description>dynamic range/color reproduction/spatial frequency response/uniformity/distortion/flare/flicker/CMS/test charts</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:%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">
        <dc:format>text/html</dc:format>
        <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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    <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:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%9C%A9%E5%85%89&amp;rev=1784807987&amp;do=diff">
        <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:眩光</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:%E7%9C%A9%E5%85%89&amp;rev=1784807987&amp;do=diff</link>
        <description>眩光

当来自强光源(如太阳或人造光)的光线直接到达镜头时，它们会反射并反弹到不同的镜头原件甚至传感器上，从而降低图像质量并在图像中产生不需要的物体。 这种现象被称为“眩光”，它可以通过多种方式影响图像，通过引入不同颜色的薄雾来大幅降低图像对比度，也可以添加圆形或半圆形光晕或“鬼影”，甚至是各种颜色强度的奇怪形状的半透明对象。在摄影中眩光也是可以接受的，例如用来给图像添加艺术元素。镜头光晕也经常被添加到电影和电脑游戏中，以增加真实感和增强观众的视觉体验。…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:dynamic_range&amp;rev=1784811077&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T12:51:17+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:camera_test_cases:dynamic_range</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:dynamic_range&amp;rev=1784811077&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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Dynamic Range

I. What is Dynamic Range


Dynamic Range (DR)
For image signals, it refers to the ratio of the maximum to the minimum value of the variable signal; it is used to describe the maximum luminance range from the darkest to the brightest areas of a real scene that an imaging device can simultaneously record. It is commonly measured in decibe…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:sfr&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:sfr</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:sfr&amp;rev=1784807986&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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Spatial Frequency Response (SFR)

1. Concept of Spatial Frequency Response

Spatial Frequency Response (</description>
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