<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Simulation on Hyun.Libro</title><link>https://hyunlibro.com/en/tags/simulation/</link><description>Recent content in Simulation on Hyun.Libro</description><generator>Hugo</generator><language>en-US</language><copyright>https://creativecommons.org/licenses/by-nc/4.0/</copyright><lastBuildDate>Mon, 17 Aug 2026 23:57:27 +0900</lastBuildDate><atom:link href="https://hyunlibro.com/en/tags/simulation/index.xml" rel="self" type="application/rss+xml"/><item><title>Digital Imaging from the Bottom Up - Introduction</title><link>https://hyunlibro.com/en/posts/academic/digital-imaging-from-the-bottom-up-introduction/</link><pubDate>Mon, 17 Aug 2026 23:57:27 +0900</pubDate><guid>https://hyunlibro.com/en/posts/academic/digital-imaging-from-the-bottom-up-introduction/</guid><description>&lt;p&gt;

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&lt;p&gt;The range of fields that involve digital imaging in one way or another is genuinely vast in the modern world. Photography, image processing, machine vision&amp;hellip; even next-door neighbors like CG, rendering, and optical design fall into this territory. The field is that broad, and the people working in it are just as diverse. But as the whole pipeline grew, specialization deepened — and as specialization deepened, understanding of the full pipeline became increasingly superficial. What happens in between — how light leaving an object turns into RGB data — mostly remains a black box.&lt;/p&gt;</description></item></channel></rss>