<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Non-Local on felladog</title><link>https://utsavdarlami.github.io/blogs/tags/non-local/</link><description>Recent content in Non-Local on felladog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sun, 03 Mar 2024 20:55:59 +0545</lastBuildDate><atom:link href="https://utsavdarlami.github.io/blogs/tags/non-local/index.xml" rel="self" type="application/rss+xml"/><item><title>image filtering</title><link>https://utsavdarlami.github.io/blogs/notes/2021-05-28--12-02-59z--image_convolution/</link><pubDate>Fri, 28 May 2021 17:47:00 +0545</pubDate><guid>https://utsavdarlami.github.io/blogs/notes/2021-05-28--12-02-59z--image_convolution/</guid><description>References : Done Reading Reading https://vincmazet.github.io/ftip/convolution.html https://nptel.ac.in/courses/106/106/106106224/ [IIT Madras] Cornell CV Lecture on Filter https://szeliski.org/Book/ [Book Chapter 3] Non-local means denoising for preserving textures To read: https://www.cs.tut.fi/~foi/papers/ICIP2019_Ymir.pdf [BM3D] https://stackoverflow.com/questions/40596026/what-does-entropy-mean-in-this-context Questions : Modify image pixels based on some function of a local neighbourhood of each pixel.
Why filter a image To sharpen, smooth, intensify or enhance a imag Linear filters Output pixel’s value is determined as a weighted sum of input pixel values within a small neighborhood N,</description></item></channel></rss>