https://wiki.yanding.com/ 2026-08-24T00:01:00+00:00 https://wiki.yanding.com/ https://wiki.yanding.com/lib/tpl/myconfluence/images/favicon.ico text/html 2026-07-10T08:03:36+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_17850_distortion&rev=1783670616&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) ISO 17850: Distortion Test Overview This International Standard specifies the test methods for geometric distortion of digital cameras.$D_{local}$$h^{\prime}$$h_{0}^{\prime}$$$D_{local}=\frac {(h^{\prime}-h_{0}^{\prime})}{h_{0}^{\prime}} \times100\% $$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$A_{i}$$B_{i}$$… 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:test_cases:camera_test_cases:distortion&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) Distortion 1. What is Distortion? Distortion refers to the geometric distortion of the image formed by an optical system relative to the object itself. It is caused by the inconsistency of lateral magnification between the edge and the center of the lens. Distortion only alters the spatial geometry of the object and does not affect the sharpness (re… text/html 2026-07-24T03:00:23+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:image_quality_factors:distortion&rev=1784862023&do=diff Distortion I.Definition Distortion is a geometric aberration characterized by the bending of straight lines in the actual scene, which disrupts the geometric similarity between the object and the image, despite not affecting image sharpness. It is determined by the behavior of the chief rays and manifests specifically as an inconsistency in actual lateral magnification across different fields of view. $$D = \frac{\Delta H}{H} \cdot 100$$$\Delta H$$H$$(x_{real}, y_{real})$$r_{\text{real}} = r_{… text/html 2026-07-10T08:03:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:riqa_software:riqa_camera_distortion_module&rev=1783670583&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) RIQA-Camera Distortion Module Distortion is a geometric aberration in optical systems (such as lenses) where the magnification varies across different positions in the field of view, causing the true geometric shape of the subject to be distorted in the image (e.g., straight lines becoming curved). This module supports automatic distortion analysis f… text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_geometric_distortion&rev=1784811078&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) CMS Geometric Distortion Concept In the Camera Monitor System (CMS), distortion refers to the deviation of the imaging result from the ideal projection model, and its definition varies depending on the ideal reference.$h_{ideal}$$\text{RadialDistortion} = \frac{\Delta h}{h_{ideal}} = \frac{h_{monitor} - h_{ideal}}{h_{ideal}} = \frac{h_{monitor}}{h_{… 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:%E7%95%B8%E5%8F%98_distortion&rev=1784811077&do=diff 畸变 一、畸变的定义与类型 畸变（distortion）是一种十分独特的几何像差。它并不影响成像的清晰程度，却会使实际场景中原本平直的线条发生弯曲，从而改变物像之间的几何相似性。 畸变是主光线的行为，不同视场的实际横向放大率不同，畸变现象也不同。$$D = \frac{\Delta H}{H} \cdot 100$$$\Delta H$$H$$(x_{real}, y_{real})$$r_{\text{real}} = r_{\text{ideal}} \left(1 + k_1 r^2 + k_2 r^4\right)$$A_{1}$$A_{2}$$$ A = \frac{A_{1}+A_{2}}{2} $$$B$$$ SMIA= \frac{A-B}{B} \times100% $$… text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%95%B8%E5%8F%98&rev=1784811078&do=diff 畸变 一、什么是畸变？ 畸变（Distortion）是指光学系统对物体所成的像相对于物体本身产生的几何失真。它由透镜边缘与中心区域的横向放大倍率不一致引起。畸变仅改变物体的空间几何形状，而不影响图像的清晰度（分辨率）。 text/html 2026-08-19T03:34:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide&rev=1787110477&do=diff How to Choose the Right Test Chart? In image quality evaluation (e.g., for cameras, LiDAR, etc.), test charts are standardized and reproducible core tools—they translate “subjective visual perception” into “objective data metrics.” This article starts from basic concepts, breaking down the purposes, parameters, and selection logic of test charts, as well as chart materials, mounting, usage, and storage, to help you precisely match testing requirements and use test charts correctly.$tan\frac{DFO… text/html 2026-08-21T14:40:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=wiki:langswitch_map&rev=1787323226&do=diff  Language Switch Map 维护说明： * 第一列是中文页面ID * 第二列是英文页面ID * 只改表格，不要改格式 * 新增映射时一行一条 中文页ID 英文页ID yanding:成像基础知识:光学:几何光学:主光线角 text/html 2026-02-10T02:39:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_17850_%E7%95%B8%E5%8F%98%E6%B5%8B%E8%AF%95&rev=1770691164&do=diff ISO 17850：畸变测试 概述 本国际标准规定了数码相机几何畸变的测试方法。 标准： ISO 17850:2015 Photography — Digital cameras — Geometric distortion (GD) measurements 技术委员会: ISO/TC 42 Photography 术语与定义 1.geometric distortion（几何畸变）<数码静态相机（DSC）用>$h^{\prime}$$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 2026-07-23T11:59:45+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_stabilization&rev=1784807985&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Image Stabilization 1. What is Camera Shake When capturing a running child in a park with a smartphone, a blurred photo misses the lively moment; when operating a drone to photograph landscapes, severe camera shake in the footage ruins the charm of the magnificent scenery; at critical moments in security surveillance, blurred images make it impossib… text/html 2026-07-24T07:49:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:test_cases&rev=1784879388&do=diff Test Cases This section provides practical test cases for image quality evaluation, organized by application: * Camera Test Cases * Image Quality Evaluation Overview * Dynamic Range * Noise * Sharpness * White Balance * Distortion * Uniformity * Color Reproduction * Chromatic Aberration * Field of View * Exposure Time * Frame Rate * Glare * Spatial Frequency Response (SFR) * Texture Loss * Gray Scale Response * Image Stabilization * MTF/S… 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:chromatic_aberration&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) Chromatic Aberration 1. What is Chromatic Aberration Chromatic aberration, also known as “color fringing 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 2026-07-24T02:37:19+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$$$\Delta L = d \cdot \tan(\theta) \approx … text/html 2026-08-14T07:46:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:image_quality_factors:mtf_sfr_analysis_and_testing&rev=1786693595&do=diff MTF (Modulation Transfer Function) I.Definition MTF (Modulation Transfer Function) is the modulus of the Optical Transfer Function (OTF), defined as the ratio of the output modulation of the system to the input modulation, describing the contrast transfer capability of an imaging system at different spatial frequencies.$$MTF(f)=\frac{M_{\text{out}}(f)}{M_{\text{in}}(f)}=|OTF(f)|$$$M$$$M=\frac{I_{\max}-I_{\min}}{I_{\max}+I_{\min}}$$$I_{max}$$I_{min}$ text/html 2026-07-24T07:44:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:test_equipment&rev=1784879066&do=diff Test Tools User Guide Test Charts * How to Choose the Right Test Chart * Test Chart Material Selection Guide * Test Chart Usage, Maintenance and Storage Guide * 18% Gray Light Sources * Multispectral Light Box * ND Filter * Matrix Traffic Light * Traffic Light Simulation Platform Collimator * Collimator Structure * Collimator Focal Length Matching * Collimator Pupil Matching * Collimator Object Distance Calculation RIQA Image Quality Analysis Software RIQA is… text/html 2026-08-21T14:40:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:image_quality_factors&rev=1787323226&do=diff 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 text/html 2026-07-24T07:49:20+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing&rev=1784879360&do=diff 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… 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 2026-07-10T08:03:06+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:light_sources:traffic_light_simulation_platform&rev=1783670586&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Yanding Road Traffic Signal Light Simulation and Testing Platform With the continuous development of autonomous driving technology, corresponding testing methods must also be upgraded synchronously. Current testing mostly focuses on lane detection, object tracking, and scene understanding. However, road traffic signal light recognition, as a critical… text/html 2026-07-27T06:13:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:optics:geometric_optics:entrance_pupil&rev=1785132783&do=diff Entrance Pupil When observing the human eye, a dark circular opening known as the pupil can be seen, through which incident light enters the eye. Physiologically, the pupil is the aperture located at the center of the iris. However, the visible pupil is not the physical opening itself, but the image of the pupil formed by the refractive structures in front of it, such as the cornea and aqueous humor. text/html 2026-08-20T02:50:54+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=1787194254&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 text/html 2026-07-15T12:13:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:keywords&rev=1784117593&do=diff dynamic range/color reproduction/spatial frequency response/uniformity/distortion/flare/flicker/CMS/test charts text/html 2026-08-21T14:42:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:start&rev=1787323327&do=diff Welcome to Yanding Knowledge Base! This knowledge base is exclusively created by YANDING, free and publicly accessible, focusing on two core areas: imaging fundamentals and image quality evaluation, aiming to provide systematic knowledge support for users with different needs. 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:dynamic_range&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) Dynamic Range When shooting against the light, the sky is overexposed and lacks detail, while the foreground subjects are reduced to black $DR_{dB}=20log_{10}(\frac{L_{max}}{L_{min}})$$L_{max}$$L_{min}$ text/html 2026-07-10T08:03:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:ieee_2020_2024_cpi&rev=1783670612&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) IEEE 2020-2024 CPI Test Definition of CPI Contrast is a crucial fundamental condition for distinguishing objects from their surroundings. $(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}$$C_{M}=\frac{L_{max}-L_{min}}{L_{max}+L_{… text/html 2026-07-23T12:54:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F:%E6%BF%80%E5%85%89%E9%9B%B7%E8%BE%BE:%E8%A7%92%E5%BA%A6%E5%88%86%E8%BE%A8%E7%8E%87&rev=1784811274&do=diff 角度分辨率 一、什么是角度分辨率？ 角度分辨率是指激光雷达在扫描探测过程中，相邻两个激光探测点主轴线在测距中心处所形成的夹角。根据扫描方向，可分为水平角度分辨率与垂直角度分辨率$\Delta L$$$\Delta L = d \cdot \tan(\theta) \approx d \cdot \theta \quad (\theta \text{ 以弧度计})$$$(d_{\text{Nmin}} + 1\ \text{m})_{-5}^{+5}\ \text{cm}$ text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%9B%BE%E5%8D%A1:%E5%A6%82%E4%BD%95%E9%80%89%E6%8B%A9%E5%90%88%E9%80%82%E5%9B%BE%E5%8D%A1&rev=1784811078&do=diff 如何选择合适图卡？ 在图像质量评估（如摄像头、显示设备、激光雷达等）中，测试图卡是标准化、可复现的核心工具 —— 它能将 “主观视觉感受” 转化为 “客观数据指标”。本文将从基础概念出发，拆解图卡的用途、参数与选型逻辑、图卡材质与装裱、图卡的使用与存储，帮助你精准匹配测试需求以及正确使用图卡。$tan\frac{DFOV}{2}=\frac{D /2}{S}$$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}$… text/html 2026-08-21T08:49:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:oc&rev=1787302169&do=diff OC（光学中心） 一、定义 OC（Optical Center，光学中心）：指的是摄像头模组的镜头光轴与图像传感器受光面的几何交点，代表成像系统的理想投影中心。在理想装配状态下，该点应与传感器有效像素阵列的几何中心重合。$ (OC_x,\; OC_y)$$ (image\_width/2,\; image\_height/2) $$(c_x,\; c_y)$$(COD_x,\; COD_y)$$$COD\_diff_x = COD_x - \frac{image\_width}{2}$$$$COD\_diff_y = COD_y - \frac{image\_height}{2}$$ 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 2026-08-11T02:56:43+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_depth_of_field&rev=1786417003&do=diff CMS Depth of Field I.Definition Depth of Field (DoF) of a CMS (Camera–Monitor System) refers to the object-distance range behind the vehicle over which targets can be sharply imaged. In optical imaging, object points outside the focal plane produce defocused blur on the image sensor, typically described by the \(MTF10_{(1:1)}\)$$MTF10_{(1:1)} \geq 0.9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$… text/html 2026-07-10T08:03:29+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_frame_rate&rev=1783670609&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) I. Definition CMS frame rate refers to the total number of valid images completely displayed by the vehicle Camera Monitor System (CMS) per unit of time, encompassing image capture, processing, transmission, and display. The unit is text/html 2026-07-10T08:03:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:light_sources:multispectral_light_box&rev=1783670585&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Multispectral Light Booth — Setting a New Standard for Optical Testing Accuracy, Providing Precise "Calibration" Answers for Every Ray of Light 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:point_cloud&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) Point Cloud 1. Definition: A point cloud is a collection of points acquired in 3D space and output by LiDAR. By recording the reflection of laser pulses off object surfaces, it translates the geometric shapes of the physical world into a massive set of discrete spatial coordinate points. It serves as the core foundational data for environment percep… text/html 2026-07-10T08:02:43+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:optics:colorimetry:cri_ra_vs_ri&rev=1783670563&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Difference Between Color Rendering Index Ra and Ri In fields such as lighting design, color management, and image creation, the color rendering index is a core metric for evaluating a light source's ability to reproduce object colors. $$R_i = 100 - 4.6 \Delta E$$$ \Delta E_i$$ \Delta E_i$$R_{i}$$$Ra =\frac{(R₁+R₂+R₃+R₄+R₅+R₆+R₇+R₈)}{8}$$…