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        <dc:date>2025-12-05T08:10:00+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:mtf_sfr测量_枯叶图法</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:mtf_sfr%E6%B5%8B%E9%87%8F_%E6%9E%AF%E5%8F%B6%E5%9B%BE%E6%B3%95&amp;rev=1764922200&amp;do=diff</link>
        <description>MTF/SFR测量—枯叶图法（Dead Leaves）

原理：

基于贴近自然场景的随机圆形纹理图案，提取纹理功率谱密度（PSD）并扣除噪声，计算各频率调制幅值与目标调制的比值，得到 MTF/SFR 值，是用于特定情况的分辨率测试，即纹理损失（如低对比度时高频率的情况，例如头发）。</description>
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        <dc:date>2025-12-05T07:08:52+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:mtf_sfr测量_西门子星图法</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:mtf_sfr%E6%B5%8B%E9%87%8F_%E8%A5%BF%E9%97%A8%E5%AD%90%E6%98%9F%E5%9B%BE%E6%B3%95&amp;rev=1764918532&amp;do=diff</link>
        <description>MTF/SFR测量——西门子星图法

原理：

基于放射状正弦楔形条纹的径向频率梯度特性，通过像素读取、正弦曲线拟合与调制度计算，直接获取不同空间频率下的调制度MTF值（无需傅里叶变换），绘制MTF曲线，体现成像系统不同频率的对比度传递能力。$I_{Max}$$S_{Min}$$Modulation = \frac{I_{\text{max}} - I_{\text{min}}}{I_{\text{max}} + I_{\text{min}}}$</description>
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        <dc:date>2025-12-01T07:39:08+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:动态范围</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:%E5%8A%A8%E6%80%81%E8%8C%83%E5%9B%B4&amp;rev=1764574748&amp;do=diff</link>
        <description>动态范围

一、什么是动态范围


动态范围（Dynamic Range，简称DR）
对于图像信号来说，指可变化信号最大值与最小值的比值；用于描述成像设备能同时记录真实场景的最暗区域到最亮区域的最大亮度范围，常用分贝（dB)、曝光数值（EV）或 ”档“（f-stops) 为单位计量。</description>
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        <dc:date>2025-10-31T09:02:48+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:噪声</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:%E5%99%AA%E5%A3%B0&amp;rev=1761901368&amp;do=diff</link>
        <description>噪声

噪声的定义及来源


在成像领域，噪声通常指在图像采集、传输或处理过程中引入的非目标信息的随机干扰信号，表现为亮度或颜色的不规则变化（如颗粒感、杂色或不规则斑点），直接影响图像的清晰度与信息可靠性。</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2025-11-28T02:57:40+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:均匀性</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:%E5%9D%87%E5%8C%80%E6%80%A7&amp;rev=1764298660&amp;do=diff</link>
        <description>均匀性

一、均匀性的概念

均匀性包含图像亮度均匀性和图像色彩均匀性。


亮度均匀性指的是图像从中心到四周边缘的亮度分布一致性。亮度均匀性较差时，即图像的中心到边缘会出现亮度不一致现象，如图1，呈现中心亮，四周偏暗现象，即亮度衰减问题。</description>
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        <dc:date>2025-10-31T09:02:48+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:帧率</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:%E5%B8%A7%E7%8E%87&amp;rev=1761901368&amp;do=diff</link>
        <description>帧率

一、什么是帧率？

本质上来说，一段视频其实是由一连串的静止画面组合而成的。而这种静止画面就是视频的最小单位帧。而帧率就是指每秒拍摄或显示的连续的画面的数量，单位是HZ（赫兹）或帧/秒（fps）。例如fps30表示一秒内拍摄连续30幅画面,而30HZ表示一秒内显示30帧连续的静止画面，均可以简称为30帧。常见的有30帧、60帧和120帧，帧率越高，画面越流畅，需要传输的数据自然也就越多，成本就越高。…</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:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7&amp;rev=1773022071&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-03-09T02:07:51+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=1773022071&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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    <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:%E6%9B%9D%E5%85%89%E6%97%B6%E9%97%B4&amp;rev=1762164010&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-11-03T10:00:10+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:曝光时间</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%9B%9D%E5%85%89%E6%97%B6%E9%97%B4&amp;rev=1762164010&amp;do=diff</link>
        <description>曝光时间

一、什么是曝光时间？

通俗来说，曝光时间就是从手指按下快门到放开快门的时间间隔，单位是秒。专业来说，曝光时间主要是指底片的感光时间。曝光时间越长，成像就越亮，适合光线较差的情况。反之，曝光时间越短，成像就越暗，适合光线较好的情况。曝光时间是看需要而定的，没有长短好坏之分。比如，假如拍摄的是星星的轨迹，就需要很长的曝光时间（可能长达几个小时），如图1所示。因为星星只有晚上才有，而晚上光线比较差，在夜景的情况下就需要延长曝光时间。但如果拍的是飞驰汽车的清晰身影只需要用很短的时间（通常是几千分之一秒），如图2所示。因为快门速度越快越可以抓取运动的物体，使其清晰成像。…</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%81%B0%E9%98%B6%E5%93%8D%E5%BA%94&amp;rev=1761901369&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:49+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:灰阶响应</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%81%B0%E9%98%B6%E5%93%8D%E5%BA%94&amp;rev=1761901369&amp;do=diff</link>
        <description>灰阶响应

一、灰阶的概念


所谓灰阶，就是将最亮和最暗之间的亮度变化划分为不同的层级，通常可粗略划分成七级，即白、灰白、浅灰、灰、深灰、浅黑、黑，每一级表示一个亮度变化，在很大程度上体现了图像在不同的亮度下的分辨能力。能分辨出来的阶数越多，分辨能力也就越好，所能呈现出的画面效果也就越细腻。</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%95%B8%E5%8F%98&amp;rev=1770725558&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-02-10T12:12:38+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:畸变</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%95%B8%E5%8F%98&amp;rev=1770725558&amp;do=diff</link>
        <description>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）。</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%99%BD%E5%B9%B3%E8%A1%A1&amp;rev=1761901368&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:48+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:白平衡</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%99%BD%E5%B9%B3%E8%A1%A1&amp;rev=1761901368&amp;do=diff</link>
        <description>白平衡

我们生活的环境丰富多彩，一把红色的雨伞，一个黄色的海滩睡椅或者一个干净的蓝色天空。白平衡使用在相机中是为了在拍摄物体时能够获得正确的颜色。除了自动颜色调整，也能使用半自动和手动进行调节。</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=1761901368&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:48+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=1761901368&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=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&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>yanding:成像质量评价:测试用例:camera测试用例:空间频率响应_sfr</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%A9%BA%E9%97%B4%E9%A2%91%E7%8E%87%E5%93%8D%E5%BA%94_sfr&amp;rev=1768528821&amp;do=diff</link>
        <description>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​​。</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%BA%B9%E7%90%86%E4%B8%A2%E5%A4%B1&amp;rev=1761901369&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:49+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:纹理丢失</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%BA%B9%E7%90%86%E4%B8%A2%E5%A4%B1&amp;rev=1761901369&amp;do=diff</link>
        <description>纹理丢失

一、纹理的概念


在数值图像领域，纹理通常是指低对比度的细节。举例来说，一棵树上的叶片或一片草原上的每颗草都是细节或者叫作纹理。相机原则上要能重现这些细节。对于相机来说，要在低光照并且使用更高ISO灵敏度的场景中从不想要的噪声中区分出纹理是极具挑战的事情。因此，对图像进行降噪处理时通常会导致纹理丢失。</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:%E8%89%B2%E5%B7%AE&amp;rev=1761901368&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:48+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:色差</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%B7%AE&amp;rev=1761901368&amp;do=diff</link>
        <description>色差

一、什么是色差


色差，也称为“色边”或“紫边”，是一种常见的光学问题，当透镜不能将所有波长的颜色聚焦到同一焦平面时，或当颜色的波长聚焦在焦平面的不同位置时，就会出现这种问题。色差是一种常见的镜头像差现象，常在图像最暗或最亮的边界区域显现出彩色条纹或紫色条纹。它是如何产生的呢？</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:%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F&amp;rev=1761901368&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:48+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=1761901368&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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    <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:%E8%A7%86%E5%9C%BA%E8%A7%92&amp;rev=1761901368&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:48+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:视场角</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%A7%86%E5%9C%BA%E8%A7%92&amp;rev=1761901368&amp;do=diff</link>
        <description>视场角

一、视场角的概念

在摄影领域，视场角（Angle of View ，简称AOV）与视场（field of view，简称 FOV）常互换使用，均指相机能“看到“景物的最大角度范围。其中，AOV 特指该范围的角度度量  ，而</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:%E9%98%B2%E6%8A%96&amp;rev=1761901368&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-31T09:02:48+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:防抖</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:%E9%98%B2%E6%8A%96&amp;rev=1761901368&amp;do=diff</link>
        <description>防抖

一、什么是抖动

在公园用手机抓拍奔跑的孩子，照片因模糊错失灵动瞬间；操控无人机航拍山河，画面的剧烈抖动让壮阔风光失了韵味；安防监控的关键时刻，影像模糊更是让重要信息无从捕捉…… 这些影响体验的问题，都指向同一个核心症结 ——</description>
    </item>
</rdf:RDF>
