<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mathematical Modeling on Mi&amp;Bee Blog</title><link>/en/tags/mathematical-modeling/</link><description>Recent content in Mathematical Modeling on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Fri, 05 Jun 2026 10:00:00 +0800</lastBuildDate><atom:link href="/en/tags/mathematical-modeling/rss.xml" rel="self" type="application/rss+xml"/><item><title>Image Degradation Models — Where Does Blur Come From?</title><link>/en/posts/physical-world/image-degradation-model/</link><pubDate>Fri, 05 Jun 2026 10:00:00 +0800</pubDate><guid>/en/posts/physical-world/image-degradation-model/</guid><description>&lt;h2 id="why-do-photos-get-blurry"&gt;Why Do Photos Get Blurry?&lt;/h2&gt;
&lt;p&gt;Scrolling through your phone gallery, you will always encounter such regrets: at the moment you pressed the shutter, you captured a beautiful moment, but the photo turned out blurry — maybe due to shaky hands, insufficient light, or the subject moving too fast. Old photos are even worse — the passage of time makes memories from back then become fuzzy.&lt;/p&gt;
&lt;p&gt;Blur is not accidental. In the world of digital imaging, every photo undergoes a complex transformation process from the real scene to digital signals. Light passes through the lens, falls on the sensor, gets recorded by electronic systems — every link may introduce &amp;ldquo;degradation.&amp;rdquo; Understanding how these degradations occur is the first step to studying image restoration from a mathematical perspective.&lt;/p&gt;</description></item></channel></rss>