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2025-02-23 16:04:16 +08:00
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docs/blog/2025/02/JPEG001.md
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@@ -58,21 +58,22 @@ YCbCr模型广泛应用在图片和视频的压缩传输中，比如你可以留
这是有道理的，还记得我们在文章开始时提到的有损压缩的基本原理吗？有损压缩首先要做的事情就是“把重要的信息和不重要的信息分开”，YCbCr恰好能做到这一点。对于人眼来说，图像中明暗的变化更容易被感知到，这是由于人眼的构造引起的。视网膜上有两种感光细胞，能够感知亮度变化的视杆细胞，以及能够感知颜色的视锥细胞，由于视杆细胞在数量上远大于视锥细胞，所以我们更容易感知到明暗细节。比如说下面这张图
<div align="center">
<table class="invisibletable" style="width:620px;">
<table class="invisibletable">
<tbody>
<tr>
<td colspan="5">
<center>
<img src="/images/2014/08/jpeg_15.jpg" >
</center>
![](/images/2014/08/jpeg_15.jpg)
</td>
</tr>
<tr>
<td><figure style="width: 200px; margin: 0px;"><img src="/images/2014/08/jpeg_16.png" ><figcaption >Y</figcaption></figure></td>
<td style="width: 10px;"></td>
<td><figure style="width: 200px; margin: 0px;"><img src="/images/2014/08/jpeg_17.png" ><figcaption >Cb</figcaption></figure></td>
<td style="width: 10px;"></td>
<td><figure style="width: 200px; margin: 0px;"><img src="/images/2014/08/jpeg_18.png" ><figcaption >Cr</figcaption></figure></td>
<td>
<figure style="margin: 5px;"><img src="/images/2014/08/jpeg_16.png" ><figcaption >Y</figcaption></figure></td>
<td ></td>
<td><figure style="margin: 5px;"><img src="/images/2014/08/jpeg_17.png" ><figcaption >Cb</figcaption></figure></td>
<td ></td>
<td><figure style="margin: 5px;"><img src="/images/2014/08/jpeg_18.png" ><figcaption >Cr</figcaption></figure></td>
</tr>
</tbody>
</table>