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        <title>研鼎知识库 yanding:成像质量评价:测试用例:camera测试用例</title>
        <description></description>
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        <title>研鼎知识库</title>
        <link>https://wiki.yanding.com/</link>
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        <dc:date>2026-08-24T07:18:58+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:oc</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:oc&amp;rev=1787555938&amp;do=diff</link>
        <description>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}$$$$COD\_diff_y = COD_y - \frac{image\_height}{2}$$</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: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=1784811078&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>2026-08-21T06:22:31+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=1787293351&amp;do=diff</link>
        <description>噪声

一、定义

图像噪声是指在图像采集、传输或处理过程中，叠加于目标信号之上的非预期干扰。其外在表现为像素亮度或色度的随机波动（如视觉上呈现为颗粒感、杂色或不规则斑点等）。$（\sigma \propto \sqrt{N}）$$$SNR = 10 \log_{10}\left(\frac{P_{signal}}{P_{noise}}\right) = 20 \log_{10}\left(\frac{\mu}{\sigma}\right)$$$\mu$$\sigma$$AC_{1}C_{2}$$\sigma$$V$$$V = \sigma_{\text{luminance}} + 0{,}852 \cdot \sigma_{u^*} + 0{,}323 \cdot \sigma_{v^*}$$$u^*$$v^*$…</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: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=1784807987&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>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: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=1784807987&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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        <dc:date>2026-09-01T07:54:42+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=1788249282&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: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: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=1784807987&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>
    </item>
    <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=1784807988&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T11:59:48+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: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=1784807988&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>
    </item>
    <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=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: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=1784811078&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>
    </item>
    <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=1789962021&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-09-21T03:40:21+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: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=1789962021&amp;do=diff</link>
        <description>白平衡

一、人眼 vs 相机：有无颜色恒常性

数字相机的白平衡，旨在使场景中的中性色（如白衣服、白墙）在不同光源下都能被还原为中性色，避免颜色随环境色温发生漂移。

人眼具备“颜色恒常性”：从暖光到冷光，无论光源色温如何变化，人眼视觉系统都能自动扣除光源色调，将白衣服始终感知为白色。</description>
    </item>
    <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>
    </item>
    <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=1786520784&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-08-12T07:46:24+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=1786520784&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>
    </item>
    <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=1784807988&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T11:59:48+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: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=1784807988&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=1788243644&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-09-01T06:20:44+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=1788243644&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=1788833347&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-09-08T02:09:07+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=1788833347&amp;do=diff</link>
        <description>色彩还原

一、定义

色彩还原（Color Reproduction）指成像设备真实再现物体本身颜色的能力。在医学影像、技术摄影等领域，色彩准确度直接关系到判读与处理的可靠性，是成像质量评价的核心维度之一。</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=1784807988&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T11:59:48+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=1784807988&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=1789439373&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-09-15T02:29:33+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=1789439373&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>
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</rdf:RDF>
