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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Noise Models\n", | ||
"\n", | ||
"Noise models are an important aspect of denoising images using P(P)N2V, HDN or microSplit.\n", | ||
"\n", | ||
"<?-- Comments: you can add images to the markdown --->\n", | ||
"<p align=\"center\">\n", | ||
" <img src=\"https://raw.githubusercontent.com/CAREamics/careamics-examples/1221cb91e54fc20f34fcd5ab8117a32434020bb0/algorithms/n2v/sem_n2v_residuals_comparison.png\" width=\"700\"/>\n", | ||
"</p>\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# The code should be hidden, but can be used to generate images\n", | ||
"# You need to tag the jupyter cell with `hide_code` to hide the code\n", | ||
"\n", | ||
"\n", | ||
"# here generate synthetic examples\n", | ||
"\n", | ||
"# plot the synthetic examples\n", | ||
"# the plots will show up on the website" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |