<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Differential Equation Models | Adarsh Roy</title><link>https://adarshroy.fyi/tags/differential-equation-models/</link><atom:link href="https://adarshroy.fyi/tags/differential-equation-models/index.xml" rel="self" type="application/rss+xml"/><description>Differential Equation Models</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Feb 2024 00:00:00 +0000</lastBuildDate><image><url>https://adarshroy.fyi/media/icon_hu_aae6bf6be2a76602.png</url><title>Differential Equation Models</title><link>https://adarshroy.fyi/tags/differential-equation-models/</link></image><item><title>DE Models for Image Denoising</title><link>https://adarshroy.fyi/project/image-denoising-de-model/</link><pubDate>Thu, 01 Feb 2024 00:00:00 +0000</pubDate><guid>https://adarshroy.fyi/project/image-denoising-de-model/</guid><description>&lt;p&gt;This project explores the use of non-local morphological Partial Differential Equations (PDEs) and p-Laplacian operators on graph structures for advanced image denoising and smoothing.&lt;/p&gt;
&lt;p&gt;We extend traditional local models with graph-based non-local operators and also introduce fractional order anisotropic diffusion models for improved preservation of image features.&lt;/p&gt;</description></item></channel></rss>